Skip to main content

Patient registries in orthopedics and orthobiologic procedures: a narrative review

Abstract

There has been increasing evidence and growing popularity of orthobiologic treatments, such as platelet-rich plasma, bone marrow aspirate concentrate, and microfragmented adipose tissue. However, real-world data, including patient-reported pain and function outcomes, remains sparse for these procedures. Thus, collecting patient-reported outcome measures is important to evaluate the safety and efficacy of these treatments and hopefully improve patient care. Patient reported outcome measures can systematically be collected through patient registries. This narrative review serves to describe the data collection platforms and registries that obtain patient-reported outcome measures on orthobiologic procedures and provide a discussion on the benefits and limitations of registries. An internet search of the list of orthopedic registries available was conducted, and registries that collect patient-reported outcome measures for orthobiologic procedures were identified. Additional information regarding these various registries was collected by directly contacting these vendors. Publications from these registries, including case series, observational studies, and annual reports, were also reviewed. Providing this review will inform clinicians of a digital tool that can increase the efficiency of collecting outcome measures for orthobiologics and aid physicians in choosing a data collection platform.

Peer Review reports

Background

Randomized controlled trials (RCTs) are the “gold standard” for evaluating the safety and efficacy of new therapeutic agents and medical interventions. RCTs achieve internal validity by reducing bias and confounding factors through randomization and strict patient inclusion and exclusion criteria. However, this often comes at the expense of external validity (generalizability) [1]. In addition, RCTs generally require extended periods of data collection and can be costly to perform. Real-world data is gathered outside of the conventional clinical trial setting and includes data obtained from patient charts, laboratory reports, patient registries, surveys, and mobile health devices [2]. This data can complement evidence obtained from RCTs by providing information about the long-term safety and effectiveness of medical interventions in large populations in a more naturalistic setting as well as allowing stakeholders and health insurance companies to assess the risk-benefit and economic value of medical interventions [1,2,3]. This allows for a more time-efficient and cost-effective method of data collection that is likely more reflective of the true clinical situations in which these procedures are performed. One method to systematically collect real-world data is through a registry database.

A registry is an organized system designed to collect uniform data to evaluate specific patient reported outcome measures (PROMs) for a population defined by a particular disease, condition, or exposure and which serves scientific, clinical, or policy purposes. PROMs are validated questionnaires that allow patients to report on their own health directly without interpretation from a physician [4]. Commonly employed PROMs include generic or general health instruments, which aim to provide a measure of general health for any health state [5]. An example is the European Qualify of Life (EurQol) 5 dimension health outcome survey (EQ-5D), which provides measures in the dimensions of mobility, self-care, usual activities, pain/discomfort, and anxiety/depression [4, 6]. The second main type of PROMs are specific instruments, which focus on a specific symptom, disease, organ, body region, or body function. These may also be designed to measure the effect of a specific intervention or treatment [5]. There are numerous body-specific PROMs that have been validated and widely used for orthopedic conditions, such as the Knee Injury and Osteoarthritis Outcome Score (KOOS) and Hip Outcome Score (HOS) [7,8,9].

The burden of musculoskeletal diseases is expected to increase in the near future. For example, it is estimated that the prevalence of self-reported, doctor-diagnosed arthritis is projected to increase from 47.8 million in 2005 to nearly 67 million by 2030, which is 25% of the adult population in the US. By 2030, 25 million or 9.3% of the US adult population is projected to report arthritis-attributable activity limitations [10]. Furthermore, healthcare costs continue to rise in the US. As of 2018, the total health expenditure in the US was $3.6 trillion, which was 17.7% of the US gross domestic product [11]. With increasing prevalence of musculoskeletal diseases and growing healthcare costs, there has been a trend towards value-based health care and the need to systematically collect data in the form of patient registries. Orthobiologic procedures, such as platelet-rich plasma (PRP), bone marrow aspirate concentrate (BMAC), and microfragmented adipose tissue (MFAT), utilize biologically-derived substances to promote the healing of tissue for various orthopedic conditions [12, 13]. Various RCTs and case series have recently been published to help support their use, such as PRP for osteoarthritis of the knee and various tendinopathies [14,15,16,17,18]. There is less robust evidence for bone marrow and adipose tissue procedures. Although there is a lack of robust evidence for these procedures, they are becoming increasingly offered by physicians to treat various orthopedic conditions. PROMs collected through patient registries can help complement data from RCTs by evaluating the safety and efficacy of these orthobiologic treatments. Furthermore, data from PROMs could help demonstrate potential cost savings of orthobiologics as an alternative to current standards of care including surgery.

This article serves to provide an overview and comparison of the available registries that collect data on orthobiologic procedures, such as PRP, BMAC, MFAT, allografts, and scaffolds. The characteristics of registries that will be discussed includes services provided by the registry, such as follow-up personnel or automatic reminders, platforms that patients can complete PROMs, HIPAA compliance, and costs. By providing this information, medical providers can obtain a better understanding of the registries and services available to collect PROMs that could potentially be used in their clinical practices. For this review, an internet search of the list of orthopedic registries available was conducted, and registries that collect PROMs for orthobiologic procedures were identified. Additional information regarding these various registries was collected by directly contacting these vendors. Publications from these registries, including case series, observational studies, and annual reports, were also reviewed. This review also provides a discussion on the limitations and benefits of registries as well as proposes methods to overcome challenges of using registries. A summary of this review can be found in Fig. 1 below.

Fig. 1
figure 1

Summary of Review

Main Text

Registry systems

Orthopedic registry systems have mostly focused on joint replacements as well as other orthopedic surgical procedures. There are currently 31 members of the International Society of Arthroplasty Registries (ISAR), including Canada, Spain, Egypt, Germany, Switzerland, Sweden, India, Iran, Ireland, Italy, Japan, United Kingdom, Pakistan, Portugal, France, South Africa, Australia, Denmark, Netherlands, Finland, Lithuania, New Zealand, Norway, Romania, and Slovakia [19]. Several US national registries have also been developed, including the American Joint Replacement Registry (AJRR), Function and Outcomes Research for Comparative Effectiveness in Total Joint Replacement (FORCE-TJR), the Kaiser Permanente National Total Joint Replacement Registry (TJRR), the Veterans Affairs and American College of Surgeons National Surgical Quality Improvement Programs (NSQIPs), and the National Trauma Data Bank (NTDB) [20]. ArthritisPower is another patient registry that was funded through a Patient-Centered Outcomes Research Institute Award and jointly developed by the non-profit Global Healthy Living Foundation (GHLF), CreakyJoints arthritis patient community, and rheumatology researchers at the University of Alabama at Birmingham (UAB). It focuses on rheumatoid conditions, such as rheumatoid arthritis, psoriatic arthritis, and ankylosing spondylitis and has published in journals, such as Arthritis Research & Therapy. However, it tracks response to medications, such as methotrexate, rather than orthobiologic procedures [21, 22]. The following data collection platforms and registries will be focused on those that collect outcomes for orthobiologic procedures. A summary of these platforms and registries is provided in Table 1 and Table 2.

Table 1 Summary of Orthobiologics and PROMs
Table 2 Summary of Registry Features and Costs

Except for the InCytes data collection platform, all the other platforms highlighted in this review are partnered or sponsored by national or international registries. For example, the Oberd software has been used by the American Academy of Orthopaedic Surgeons (AAOS), American Joint Replacement Registry (AJRR), and American Shoulder and Elbow Surgeons (ASES). A summary of these partnerships can be found in Table 2. Overall, most of these registries have primarily collected data on orthopedic surgeries rather than orthobiologic treatments. However, there are some platforms that have a specific focus on the collection of PROMs for orthobiologic procedures. Oberd was utilized to create the Regenerative Orthobiologics Registry (ROR) [23, 24]. DataBiologics was recently endorsed as the official outcomes software for The Orthobiologic Institute (TOBI) [25, 26]. InCytes was created with a focus on collecting data for orthobiologic procedures [27]. Amplitude Clinical Outcomes is the software that powers the International Cartilage Regeneration and Joint Preservation Society (ICRS), which is another registry that focuses on orthobiologics [28, 29].

All the data collection platforms can be used to record the diagnosis for the treatment, the type of orthobiologic procedure performed, company and product name of the orthobiologic system, and where the treatment was performed. Besides the Spine Tango registry which only collects data for treatments of spine diseases and the ICRS which only collects data for knee pathologies, all the platforms collect PROMs for treatments across different parts of the body. A summary of the PROMs used for specific joints for each registry can be found in Table 1 [24, 25, 27,28,29,30,31,32,33,34,35,36,37,38]. Most of the data collection platforms have pre-set follow-up periods for sending PROMs, such as 3-months, 6-months, 9-months, one year, and two years. The Code Technology, InCytes, OutcomeMD, and Ortech platforms also allow clinicians to create customizable follow-up periods according to the organization’s needs.

Another important consideration in the type of PROMs utilized is response burden. A Cochrane review by Edwards et al. concluded that questionnaire length has a substantial impact on non-response rates. Amongst 56 trials, the odds of response increased by more than half using shorter postal questionnaires (OR 1.64, 95% 1.43–1.87). Only two trials involving electronic questionnaires were included in this same Cochrane review, but the odds increased by over a half when using shorter questionnaires (OR 1.73, 95% CI 1.40 to 2.13). However, this review noted that although shorter questionnaires were found to minimize non-response, it may be at the cost of a reduction of accuracy of the measurement process [39]. Thus, shortening questionnaires may not be an option unless if there have been studies to validate the abridged PROM. Examples of validated shortened versions of PROMs that these data collection platforms utilize include the QuickDASH, HOOS Jr., and KOOS Jr. [24, 25, 27,28,29,30,31,32,33,34,35,36,37,38]. Furthermore, the Patient Reported Outcome Measurement Information System (PROMIS) is a tool that can reduce response burden while maintaining validity of its measures. PROMIS utilizes computer-adaptive tests (CAT) where computer assessment software can deliver a brief and targeted sequence of items to an individual based on his or her previous item response. A typical PROMIS CAT can involve four to eight items and take about one to two minutes to complete while maintaining validity [40]. Data collection platforms that utilize PROMIS CAT include ROR, AO Global Data Registry, Code Technology, InCytes, OutcomeMD, Surgical Outcomes System, Ortech, and PatientIQ [27, 30,31,32,33,34, 38].

There are additional measures that can be taken to improve response rates. Pre-operative participation in PROM surveys had a significant positive association with participation at 3 months (OR 3.34, 95% CI 2.76–4.04) and at 1-year (OR 15.46, 95% CI 12.16–19.67) [41]. Compared to paper forms, electronic and Web-based methods of PROM collection has also shown to be more effective and has led to higher completion rates [42, 43]. Other solutions that also improved post-treatment survey completion included an electronic dashboard to track patients who did not complete their questionnaires and re-sending surveys, providing a paper version, and calling the patient to follow-up [44]. All the data collection platforms included in this review emphasize collecting pre-treatment PROMs. Email and text reminders are also utilized by all the data collection platforms, except for Arthrex which does not have text messaging reminders. ROR, Code Technology, and OutcomeMD also offer phone call reminders to patients. Furthermore, these registries are all web-based platforms where patients can complete PROMs on different devices, such as smartphones, tablets, and personal computers. Through these registries, clinicians will also have access to dashboards to track completion rates of PROMs. Some platforms, such as Code Technology, also have account managers who help to keep track of PROM completion rates [24, 25, 27,28,29,30,31,32,33,34,35,36,37,38].

Data privacy can also be a concern to both providers and patients. All the registries described in this review are HIPAA compliant or follow similar regulations based on their country of origin. These registries also utilize strict security protocols to ensure that patient data is protected. Costs of the data collection platform is another important factor that clinicians may consider. A summary of costs can be found in Table 2. However, pricing may vary depending on different factors, including choice of pricing models, licensing fees, specific needs and size of the institution, and additional features. Pricing information for certain data collection platforms were also not publicly disclosed and required an onboarding demonstration. Additionally, InCytes charged a fee per additional case after a maximum of 100 cases were reached. Code Technology also offered either a per provider or per procedure payment model. Fees per procedure or case could cause a potential selection bias when recruiting patients into the registry. Both the Surgical Outcomes System and Spine Tango registries can be utilized for free with membership to certain medical societies or groups [24, 25, 27,28,29,30,31,32,33,34,35,36,37,38].

Discussion

The literature on the use of orthobiologics has been mixed. Some recent RCTs and case series have helped to support the use of orthobiologic treatments [14,15,16,17,18]. For example, PRP was shown to be superior to hyaluronic acid or saline solution in the treatment of mild to moderate knee osteoarthritis [16]. However, other studies found that PRP did not provide a superior clinical improvement compared with hyaluronic acid [45, 46]. Study design could contribute to these mixed results, such as lack of standardization and characterization of the orthobiologic used in the study. Additionally, many of these trials contain small sample sizes, short duration of follow-up, and large costs and resources to perform [14,15,16,17,18]. Due to these limitations of RCTs, literature regarding adverse events and long-term follow up of orthobiologic treatments is lacking [47]. Registry data can be collected quickly and efficiently to help supplement the existing literature. Additionally, long-term outcomes of large patient populations can be collected through patient registries to capture rare and serious adverse events of orthobiologics that may not be detected during RCTs that are limited in time and sample size [48]. Currently, there is also a lack of literature on how the characteristics of the orthobiologic procedure can affect treatment, such as the volume or constituents of the injected material [47]. Patient registries could also be used to help fill this gap of knowledge.

The data collection platforms in this review gather important information, such as diagnosis, type of orthobiologic procedure performed, company and product name of the orthobiologic system, and where the treatment was performed [24, 25, 27,28,29,30,31,32,33,34,35,36,37,38]. However, clinicians should provide feedback to these data collection platforms to allow more specific parameters of the treatment to be entered into the platforms, such as volume of injectate and concentration of cellular components. All the patient registries in this review provide data analysis and outcome reports based on diagnoses and treatments. Having outcomes data on the specific parameters of treatments could help clinicians determine their efficacy and support decision making on how to best optimize orthobiologic procedures. Furthermore, long-term outcomes data collected through patient registries could help facilitate communication regarding the treatment course and prognosis of orthobiologics [49]. Finally, patient registry data can also be used to help determine the cost-effectiveness of orthobiologics [1].

Overall, the data collection platforms discussed in this review can help clinicians collect and monitor outcome measures. These platforms provide a system and interface that allows clinicians to easily collect data from patients without having to develop and design their own software, thus saving clinicians resources on time and money. Additionally, these platforms have an onboarding process that provides training in optimizing the use of the software as well training staff on best use practices in implementing a patient registry. By automating patient reminders to complete patient questionnaires, clinicians and their staff would not need to dedicate as much effort on patient follow-up. Furthermore, these platforms can be used as an effective feedback tool by providing data analysis and outcome reports to allow clinicians to make choices on how to improve and change treatment protocols based on their specific patient populations.

Review limitations

One disadvantage of registry data is lack of a control group. Thus, it is important to utilize patient registries to supplement data and optimize orthobiologic treatments that have been supported through RCTs. Additionally, there is concern of non-response bias with patient registries [50]. However, as previously discussed, all the data collection platforms in this review utilize various measures to increase response rates, including being internet-based platforms, collecting pre-treatment PROMs, automated patient reminders, and utilizing shorter questionnaires to reduce response burden [24, 25, 27,28,29,30,31,32,33,34,35,36,37,38]. Although all the patient registries in this review provide data analyses and reports, such as graphs with trends of the data, the patient registries in this review are not subjected to obligatory third-party checks or independent audits [51]. Thus, the data could be subject to random and systematic errors [52].

A limitation of this review is that it might not be possible to have identified all orthopedic registries. Although a robust search was attempted, registries that collect PROMs for orthobiologic procedures may have been missed as new platforms are continuing to be developed and started. Additionally, information regarding registry systems could be limited to only what is available publicly online. Attempts were made to directly contact the vendors discussed in this review. However, some companies were unable to be contacted. Other companies required a demonstration or onboarding process prior to disclosing specific information, such as pricing. Information regarding costs to utilize these registry systems is also limited as pricing depends on each institution’s needs, such as size of the institution, additional features offered, licensing fees, and other variables.

Future perspective

There are currently various orthopedic surgery registries available to clinicians. These registries also collect data on orthobiologic treatments but is not the main objective of these patient registries. However, patient registries specific to the collection of outcomes related to orthobiologic procedures are quite limited and include ROR, ICRS, DataBiologics, and InCytes. Furthermore, orthobiologic-specific patient registries have published sparse data mostly in the form of annual reports. According to The ICRS Patient Registry Annual Report 2020, no complications were documented following injection with orthobiologic treatments [29]. In the 2021 Outcomes Report for DataBiologics, meaningful reduction in pain within 12-months was found in 73, 70, and 61% of patients with knee osteoarthritis following treatment with PRP, adipose tissue therapy, and BMAC respectively. This report concluded that their outcomes data demonstrated potential effectiveness of PRP and adipose tissue based treatments for knee osteoarthritis [53]. Ultimately, the continued use and support of these patient registries is needed to allow for the growth of more outcomes data of orthobiologic procedures. With more outcomes data, the cost-effectiveness of orthobiologics can be determined. By using registry data to perform cost-benefit analyses, orthobiologic procedures could hopefully be proven to be the standard of care for specific indications and accepted by medical insurers.

Conclusions

Orthobiologic procedures are becoming more frequently performed clinically although there are concerns regarding their safety, clinical efficacy, and limited available evidence. Collection of PROMs can provide data on pain and function outcomes as well as elucidate the long-term safety, effectiveness, and potential cost savings of orthobiologic procedures. Various data collection platforms and registries have been described and compared in this review. Each platform offers different services to facilitate in data collection and vary in pricing. Clinicians have different goals when considering which registry to adopt into their practice. Furthermore, many clinicians have busy practices with limited resources or capabilities to independently employ a database registry in their practices. Thus, there appears to be a need for affordable and easy to use database registries specifically for the collection of outcomes for orthobiologic procedures. Providing this comparison will hopefully aid physicians in choosing a platform to collect PROMs.

Availability of data and materials

Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study. Not applicable.

Abbreviations

A2M:

Alpha-2 Macroglobulin

AANA:

Arthroscopy Association of North America

AAOS:

American Academy of Orthopaedic Surgeons

AJRR:

American Joint Replacement Registry

AOFAS:

American Orthopedic Foot and Ankle Score

AOSSM:

American Orthopedic Society for Sports Medicine

ASES:

American Shoulder and Elbow Surgeons

ATRS:

Achilles Tendon Total Rupture Score

BMAC:

Bone Marrow Aspirate Concentrate

bMHQ:

Brief Michigan Hand Outcome Questionnaire

CAT:

Computer Adaptive Test

CJRR:

California Joint Replacement Registry

COMI-Back:

Core Outcome Measures Index for the Back

CTS-6:

6-Item Carpal Tunnel Symptoms Scale

DASH:

Disabilities of the Arm, Shoulder, and Hand

EOA:

Eastern Orthopedic Association

EQ:

European Quality of Life

EurQol:

European Quality of Life

FAAM:

Foot and Ankle Ability Measure

FADI:

Foot and Ankle Disability Index

FFI-R:

Foot Function Index Revised

FORCE-TJR:

Function and Outcomes Research for Comparative Effectiveness in Total Joint Replacement

GHLF:

Global Healthy Living Foundation

HOOS:

Hip Disability and Osteoarthritis Outcome Score

ICHOM:

International Consortium of Health Outcome Measures

ICRS:

International Cartilage Regeneration and Joint Preservation Society

iHOT-12:

International Hip Outcome Tool 12-Item

IKDC:

International Knee Documentation Committee

IOF:

International Osteoporosis Foundation

ISAR:

International Society of Arthroplasty Registries

KJOC:

Kerlan-Jobe Orthopaedic Clinic

KOOS:

Knee Injury and Osteoarthritis Outcome Score

MARCQI:

Michigan Arthroplasty Registry Collaborative Quality Initiative

MARS:

Marx Activity Rating Scale

MFAT:

Microfragmented Adipose Tissue

MFPDI:

Manchester Foot and Pain Disability Index

mHHS:

Modified Harris Hip Score

MOCART:

Magnetic Resonance Observation of Cartilage Repair Tissue

NAHS:

Non-Arthritic Hip Score

NASS:

North American Spine Society

NDI:

Neck Disability Index

NIH:

National Institutes of Health

NPRS:

Numeric Pain Rating Scale

NSQIPs:

National Surgical Quality Improvement Programs

NTDB:

National Trauma Data Bank

ODI:

Oswestry Disability Index

OSS:

Oxford Shoulder Score

Patient Reported Outcome Measures:

PROMs

Pedi-IKDC:

Pediatric International Knee Documentation Committee Subjective Knee Form

PHQ-4:

Patient Health Questionnaire-4

PPP:

platelet-poor plasma

PROMIS:

Patient-Reported Outcomes Measurement Information System

PRP:

platelet-rich plasma

PRTEE:

Patient-Related Tennis Elbow Evaluation

RCT:

Randomized Control Trial

ROR:

Regenerative Orthobiologics Registry

RWS:

Randall Woolcott Services

SANE:

Single Assessment Numeric Evaluation

SF-36:

36-Item Short Form Survey

SOS:

Surgical Outcomes System

SPADI:

Shoulder Pain and Disability Index

SRS-30:

Scoliosis Research Society 30-Item

SST:

Simple Shoulder Test

TAS:

Tegner Activity Scale

TJRR:

Total Joint Replacement Registry

UAB:

University of Alabama at Birmingham

VAS:

Visual Analog Score

VHS:

Vail Hip Score

VISA-A:

Victorian Institute of Sports Assessment – Achilles

VISA-P:

Victorian Institute of Sports Assessment – Patellar Tendinopathy

VR-12:

Veterans RAND 12

WOMAC:

Western Ontario and McMaster Universities Osteoarthritis Index

WOOS:

Western Ontario Osteoarthritis Shoulder Index

WORC:

Western Ontario Rotator Cuff Index

WOSI:

Western Ontario Shoulder Instability Index

References

  1. Blonde L, Khunti K, Harris SB, Meizinger C, Skolnik NS. Interpretation and Impact of Real-World Clinical Data for the Practicing Clinician. Adv Ther. 2018;35(11):1763–74.

    Article  PubMed  Google Scholar 

  2. Swift B, Jain L, White C, Chandrasekaran V, Bhandari A, Hughes DA, et al. Innovation at the Intersection of Clinical Trials and Real-World Data Science to Advance Patient Care. Clin Transl Sci. 2018;11(5):450–60.

    Article  PubMed  Google Scholar 

  3. Barnish MS, Turner S. The value of pragmatic and observational studies in health care and public health. Pragmat Obs Res. 2017;8:49–55.

    Article  PubMed  Google Scholar 

  4. Fidai MS, Saltzman BM, Meta F, Lizzio VA, Stephens JP, Bozic KJ, et al. Patient-Reported Outcomes Measurement Information System and Legacy Patient-Reported Outcome Measures in the Field of Orthopaedics: A Systematic Review. Arthroscopy. 2018;34(2):605–14.

    Article  PubMed  Google Scholar 

  5. Rolfson O, Eresian Chenok K, Bohm E, Lubbeke A, Denissen G, Dunn J, et al. Patient-reported outcome measures in arthroplasty registries. Acta Orthop. 2016;87(Suppl 1):3–8.

    Article  PubMed  Google Scholar 

  6. EQ-5D Instruments | About EQ-5D: EuroQol Group; [Available from: https://euroqol.org/eq-5d-instruments/. Accessed 20 Sep 2021.

  7. Collins NJ, Prinsen CA, Christensen R, Bartels EM, Terwee CB, Roos EM. Knee Injury and Osteoarthritis Outcome Score (KOOS): systematic review and meta-analysis of measurement properties. Osteoarthr Cartil. 2016;24(8):1317–29.

    Article  CAS  Google Scholar 

  8. Martin RL, Kelly BT, Philippon MJ. Evidence of validity for the hip outcome score. Arthroscopy. 2006;22(12):1304–11.

    Article  PubMed  Google Scholar 

  9. Wilson I, Bohm E, Lubbeke A, Lyman S, Overgaard S, Rolfson O, et al. Orthopaedic registries with patient-reported outcome measures. EFORT Open Rev. 2019;4(6):357–67.

    Article  PubMed  Google Scholar 

  10. Hootman JM, Helmick CG. Projections of US prevalence of arthritis and associated activity limitations. Arthritis Rheum. 2006;54(1):226–9.

    Article  PubMed  Google Scholar 

  11. Health Expenditures Center for Disease Control and Prevention [updated May 7, 2021. Available from: https://www.cdc.gov/nchs/fastats/health-expenditures.htm.

  12. Crane DM, Oliver KS, Bayes MC. Orthobiologics and Knee Osteoarthritis: A Recent Literature Review, Treatment Algorithm, and Pathophysiology Discussion. Phys Med Rehabil Clin N Am. 2016;27(4):985–1002.

    Article  PubMed  Google Scholar 

  13. Rodeo SA. Biologic Approaches in Sports Medicine:Potential, Perils, and Paths Forward. Am J Sports Med. 2016;44(7):1657–9.

    Article  PubMed  Google Scholar 

  14. Fitzpatrick J, Bulsara M, Zheng MH. The Effectiveness of Platelet-Rich Plasma in the Treatment of Tendinopathy: A Meta-analysis of Randomized Controlled Clinical Trials. Am J Sports Med. 2017;45(1):226–33.

    Article  PubMed  Google Scholar 

  15. Houck DA, Kraeutler MJ, Thornton LB, McCarty EC, Bravman JT. Treatment of Lateral Epicondylitis With Autologous Blood, Platelet-Rich Plasma, or Corticosteroid Injections: A Systematic Review of Overlapping Meta-analyses. Orthop J Sports Med. 2019;7(3):2325967119831052.

    Article  PubMed  Google Scholar 

  16. Lin KY, Yang CC, Hsu CJ, Yeh ML, Renn JH. Intra-articular Injection of Platelet-Rich Plasma Is Superior to Hyaluronic Acid or Saline Solution in the Treatment of Mild to Moderate Knee Osteoarthritis: A Randomized, Double-Blind, Triple-Parallel, Placebo-Controlled Clinical Trial. Arthroscopy. 2019;35(1):106–17.

    Article  PubMed  Google Scholar 

  17. Lisi C, Perotti C, Scudeller L, Sammarchi L, Dametti F, Musella V, et al. Treatment of knee osteoarthritis: platelet-derived growth factors vs. hyaluronic acid. A randomized controlled trial. Clin Rehabil. 2018;32(3):330–9.

    Article  PubMed  Google Scholar 

  18. Louis ML, Magalon J, Jouve E, Bornet CE, Mattei JC, Chagnaud C, et al. Growth Factors Levels Determine Efficacy of Platelets Rich Plasma Injection in Knee Osteoarthritis: A Randomized Double Blind Noninferiority Trial Compared With Viscosupplementation. Arthroscopy. 2018;34(5):1530–40.e2.

    Article  PubMed  Google Scholar 

  19. Members: International Society of Arthroplasty Registries; [Available from: https://www.isarhome.org/members. Accessed 8 Aug 2021.

  20. Cook CS, Smith PA. Update on Internet-Based Orthopedic Registries. Am J Orthop (Belle Mead NJ). 2017;46(6):284–9.

    Google Scholar 

  21. ArthritisPower [Available from: https://arthritispower.creakyjoints.org/. 8 Aug 2021.

  22. Nowell WB, Gavigan K, Kannowski CL, Cai Z, Hunter T, Venkatachalam S, et al. Which patient-reported outcomes do rheumatology patients find important to track digitally? A real-world longitudinal study in ArthritisPower. Arthritis Res Ther. 2021;23(1):53.

    Article  PubMed  Google Scholar 

  23. Keeran L. Regnerative Orthobiologics Regsitry Success Story - Growing and Credentialing the Use of Orthobiologics OBERD2018 [Available from: https://www.oberd.com/insights/success-story-ror. Accessed Aug 2021.

  24. McWilliams B, Helm P. Regenerative Orthobiologics Registry Data Collection and Reporting Webinar Regen Health Solutions [Available from: https://register.gotowebinar.com/register/4006341488261522435. Accessed Aug 2021.

  25. DataBiologics [Available from: https://www.databiologics.com/. Accessed Aug 2021.

  26. DataBiologics. TOBI Network Names DataBiologics its Official Outcomes Platform 2021 [Available from: https://medium.com/@info_74107/tobi-networks-names-databiologics-its-official-outcomes-platform-10d1d7160c94. Accessed Aug 2021.

  27. inCytes™ [Available from: https://incytesapp.com/. Accessed Aug 2021.

  28. Amplitude Clinical Outcomes [Available from: https://amplitude-clinical.com/. Accessed Aug 2021.

  29. Asplin L, Conley C, McNicholas M. ICRS Patient Registry Annual Report 2020. International Cartilage Regeneration & Joint Preservation Society.

  30. Oberd [Available from: https://www.oberd.com/prestigious-registries/. Accessed Aug 2021.

  31. Code Technology [Available from: https://www.codetechnology.com/. Accessed Aug 2021.

  32. OutcomeMD [Available from: https://www.outcomemd.com/#. Accessed Aug 2021.

  33. Surgical Outcomes System [Available from: https://surgicaloutcomesystem.com/. Accessed Aug 2021.

  34. Ortech Systems [Available from: https://ortechsystems.com/. Accessed Aug 2021.

  35. DADOS Project [Available from: https://www.dadosproject.com/. Accessed Aug 2021.

  36. EUROSPINE Spine Tango: EUROSPINE; [Available from: https://www.eurospine.org/spine-tango.htm. Accessed Aug 2021.

  37. AO Global Data AO Foundation [Available from: https://www.aoglobaldata.com/. Accessed Aug 2021.

  38. PatientIQ [Available from: https://www.patientiq.io/. Accessed Aug 2021.

  39. Edwards PJ, Roberts I, Clarke MJ, Diguiseppi C, Wentz R, Kwan I, et al. Methods to increase response to postal and electronic questionnaires. Cochrane Database Syst Rev. 2009;2009(3):Mr000008.

  40. Broderick JE, DeWitt EM, Rothrock N, Crane PK, Forrest CB. Advances in Patient-Reported Outcomes: The NIH PROMIS(®) Measures. EGEMS (Wash DC). 2013;1(1):1015.

    Google Scholar 

  41. Patel J, Lee JH, Li Z, SooHoo NF, Bozic K, Huddleston JI. Predictors of Low Patient-Reported Outcomes Response Rates in the California Joint Replacement Registry. J Arthroplast. 2015;30(12):2071–5.

    Article  Google Scholar 

  42. Schamber EM, Takemoto SK, Chenok KE, Bozic KJ. Barriers to Completion of Patient Reported Outcome Measures. J Arthroplast. 2013;28(9):1449–53.

    Article  Google Scholar 

  43. Viveen J, Prkic A, The B, Koenraadt KL, Eygendaal D. Effect of introducing an online system on the follow-up of elbow arthroplasty. World J Orthop. 2016;7(12):826–31.

    Article  PubMed  Google Scholar 

  44. Chenok K, Teleki S, SooHoo NF, Huddleston J 3rd, Bozic KJ. Collecting Patient-Reported Outcomes: Lessons from the California Joint Replacement Registry. EGEMS (Wash DC). 2015;3(1):1196.

    Google Scholar 

  45. Cole BJ, Karas V, Hussey K, Pilz K, Fortier LA. Hyaluronic Acid Versus Platelet-Rich Plasma: A Prospective, Double-Blind Randomized Controlled Trial Comparing Clinical Outcomes and Effects on Intra-articular Biology for the Treatment of Knee Osteoarthritis. Am J Sports Med. 2017;45(2):339–46.

    Article  PubMed  Google Scholar 

  46. Di Martino A, Di Matteo B, Papio T, Tentoni F, Selleri F, Cenacchi A, et al. Platelet-Rich Plasma Versus Hyaluronic Acid Injections for the Treatment of Knee Osteoarthritis: Results at 5 Years of a Double-Blind, Randomized Controlled Trial. Am J Sports Med. 2019;47(2):347–54.

    Article  PubMed  Google Scholar 

  47. Marenah M, Li J, Kumar A, Murrell W. Quality assurance and adverse event management in regenerative medicine for knee osteoarthritis: Current concepts. J Clin Orthop Trauma. 2019;10(1):53–8.

    Article  PubMed  Google Scholar 

  48. Choinière M, Ware MA, Pagé MG, Lacasse A, Lanctôt H, Beaudet N, et al. Development and Implementation of a Registry of Patients Attending Multidisciplinary Pain Treatment Clinics: The Quebec Pain Registry. Pain Res Manag. 2017;2017:8123812.

    Article  PubMed  Google Scholar 

  49. Gagnier JJ. Patient reported outcomes in orthopaedics. J Orthop Res. 2017;35(10):2098–108.

    Article  PubMed  Google Scholar 

  50. Centeno CJ, Al-Sayegh H, Bashir J, Goodyear S, Freeman MD. A prospective multi-site registry study of a specific protocol of autologous bone marrow concentrate for the treatment of shoulder rotator cuff tears and osteoarthritis. J Pain Res. 2015;8:269–76.

    PubMed Central  PubMed  Google Scholar 

  51. Tevaearai H, Carrel T. Clinical registries: yes, but then appropriately! Eur J Cardiothorac Surg. 2013;44(4):614–5.

    Article  PubMed  Google Scholar 

  52. Bautista MP, Bonilla GA, Mieth KW, Llinás AM, Rodríguez F, Cárdenas LL. Data Quality in Institutional Arthroplasty Registries: Description of a Model of Validation and Report of Preliminary Results. J Arthroplast. 2017;32(7):2065–9.

    Article  Google Scholar 

  53. Guevarra-Fernandez J, Potpally N. An Overview of Regenerative Treatments for Orthopedic Conditions: 2021 Outcomes Report. DataBiologics; 2021.

    Google Scholar 

Download references

Acknowledgements

Luke Malanga, Andrew Ward, and Yash Kulkarni all helped to correspond with representatives from the registries and data collection platforms to obtain additional information.

Funding

The Orthoregeneration Network (ON) Foundation awarded the authors a literature grant to support publication costs for a review on clinical registries in orthopedic practice and their coverage of regenerative techniques. DataBiologics did not provide any funding or financial support for the publication of this article.

Author information

Authors and Affiliations

Authors

Contributions

CM: Conception of work; acquisition and interpretation of information; drafting of manuscript; review and approval of final manuscript. GM: Conception of work; critical revision of manuscript; review and approval of final manuscript.

Corresponding author

Correspondence to Cedric Lester Magaway.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing Interests

Dr. Gerard Malanga is a Founder and partner of DataBiologics.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Magaway, C.L., Malanga, G. Patient registries in orthopedics and orthobiologic procedures: a narrative review. BMC Musculoskelet Disord 23, 543 (2022). https://doi.org/10.1186/s12891-022-05416-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12891-022-05416-4

Keywords