ReviewClinical orthopaedics and related research2010
Electronic data capture for registries and clinical trials in orthopaedic surgery: open source versus commercial systems.
Review in Clinical orthopaedics and related research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
30 citing papers in PubMed, 75 citations in OpenAlex.
- Evaluation of partial and total splenectomy in children with sickle cell disease using an Internet-based registry.Pediatric blood & cancer · 2012Trial
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- Guidelines for Research Data Integrity (GRDI).Scientific data · 2025Article
- Article
- Validation of a Smartphone-Based Institutional Electronic Data Capture System for Thumb Carpometacarpal Joint Arthroplasty.Hand (New York, N.Y.) · 2023Article
- Data Management 101 for drug developers: A peek behind the curtain.Clinical and translational science · 2023Review
- Validation of a Novel Smartphone-Based Electronic Data Capture System Following Surgical Fixation of Distal Radial Fractures.Hand (New York, N.Y.) · 2023Article
- Stakeholder-driven development and implementation of CRICIT: an app to support high-quality data capture and protocol monitoring for outpatient clinical trials with vulnerable populations.Journal of clinical and translational science · 2023Article
- An Open-Source, Standard-Compliant, and Mobile Electronic Data Capture System for Medical Research (OpenEDC): Design and Evaluation Study.JMIR medical informatics · 2021Article
- Effectiveness of a Web-Based Electronic Prospective Data Collection Tool for Surgical Data in Shoulder Arthroplasty.Seminars in arthroplasty · 2021Article
- CONSENSUS: a Shiny application of dementia evaluation and reporting for the KU ADC longitudinal Clinical Cohort database.JAMIA open · 2021Article
- The Cambridge Cognitive and Psychiatric Assessment Kit (CamCOPS): A Secure Open-Source Client-Server System for Mobile Research and Clinical Data Capture.Frontiers in psychiatry · 2021Article
- Smartphone Data Capture Efficiently Augments Dictation for Knee Arthroscopic Surgery.The Journal of the American Academy of Orthopaedic Surgeons · 2020Article
- Validity and efficiency of a smartphone-based electronic data collection tool for operative data in rotator cuff repair.Journal of shoulder and elbow surgery · 2019Article
- Creation of Data Repositories to Advance Nursing Science.Western journal of nursing research · 2019Article
- Acceptability of a German multicentre healthcare research study: a survey of research personnels' attitudes, experiences and work load.BMJ open · 2018Observational
- Characteristics of patients with fragility hip fractures in the northern Kyushu district in Japan: a multicenter prospective registry based on an electronic data capture system.Journal of bone and mineral metabolism · 2018Observational
- Utilization of a Clinical Trial Management System for the Whole Clinical Trial Process as an Integrated Database: System Development.Journal of medical Internet research · 2018Article
- Inflammatory bowel disease registries for collection of patient iron parameters in Europe.World journal of gastroenterology · 2018Review
- EsPRit: ethics committee proposals for Long Term Medical Data Registries in rapidly evolving research fields - a future-proof best practice approach.BMC medical informatics and decision making · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCollection and analysis of clinical data can help orthopaedic surgeons to practice evidence based medicine. Spreadsheets and offline relational databases are prevalent, but not flexible, secure, workflow friendly and do not support the generation of standardized and interoperable data. Additionally these data collection applications usually do not follow a structured and planned approach which may result in failure to achieve the intended goal. QUESTIONS/PURPOSES: Our purposes are (1) to provide a brief overview of EDC systems, their types, and related pros and cons as well as to describe commonly used EDC platforms and their features; and (2) describe simple steps involved in designing a registry/clinical study in DADOS P, an open source EDC system. WHERE ARE WE NOW?: Electronic data capture systems aimed at addressing these issues are widely being adopted at an institutional/national/international level but are lacking at an individual level. A wide array of features, relative pros and cons and different business models cause confusion and indecision among orthopaedic surgeons interested in implementing EDC systems. WHERE DO WE NEED TO GO?: To answer clinical questions and actively participate in clinical studies, orthopaedic surgeons should collect data in parallel to their clinical activities. Adopting a simple, user-friendly, and robust EDC system can facilitate the data collection process. HOW DO WE GET THERE?: Conducting a balanced evaluation of available options and comparing them with intended goals and requirements can help orthopaedic surgeons to make an informed choice.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.