ArticleBMC medical research methodology2007
Automated inter-rater reliability assessment and electronic data collection in a multi-center breast cancer study.
Article in BMC medical research methodology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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
23 citing papers in PubMed.
- Assessing and treating pain in hospices: current state of evidence-based practices.Journal of pain and symptom management · 2010Trial
- Electronic case report forms and electronic data capture within clinical trials and pharmacoepidemiology.British journal of clinical pharmacology · 2017Review
- Effectiveness of Using Mobile Phone Image Capture for Collecting Secondary Data: A Case Study on Immunization History Data Among Children in Remote Areas of Thailand.JMIR mHealth and uHealth · 2015Article
- Incident comorbidities and all-cause mortality among 5-year survivors of Stage I and II breast cancer diagnosed at age 65 or older: a prospective-matched cohort study.Breast cancer research and treatment · 2014Article
- Comprehensive evaluation of the incidence of late effects in 5-year survivors of breast cancer.Breast cancer research and treatment · 2014Article
- Comparative safety of cardiovascular medication use and breast cancer outcomes among women with early stage breast cancer.Breast cancer research and treatment · 2014Article
- Customized-Language Voice Survey on Mobile Devices for Text and Image Data Collection Among Ethnic Groups in Thailand: A Proof-of-Concept Study.JMIR mHealth and uHealth · 2014Article
- Comparison of two data collection processes in clinical studies: electronic and paper case report forms.BMC medical research methodology · 2014Article
- Sustaining Research Networks: the Twenty-Year Experience of the HMO Research Network.EGEMS (Washington, DC) · 2014Article
- A nested case-control study of adjuvant hormonal therapy persistence and compliance, and early breast cancer recurrence in women with stage I-III breast cancer.British journal of cancer · 2013Article
- Fracture risk in older, long-term survivors of early-stage breast cancer.Journal of the American Geriatrics Society · 2013Article
- Harnessing technology to improve clinical trials: study of real-time informatics to collect data, toxicities, image response assessments, and patient-reported outcomes in a phase II clinical trial.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2013Article
- Tailored system to deliver behavioral intervention and manage data in randomized trials.Journal of medical Internet research · 2013Article
- ClinData Express--a metadata driven clinical research data management system for secondary use of clinical data.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2012Article
- HER2 evaluation and its impact on breast cancer treatment decisions.Public health genomics · 2012Article
- Age, comorbidity, and breast cancer severity: impact on receipt of definitive local therapy and rate of recurrence among older women with early-stage breast cancer.Journal of the American College of Surgeons · 2011Article
- The influence of travel time on breast cancer characteristics, receipt of primary therapy, and surveillance mammography.Breast cancer research and treatment · 2011Article
- CYP2D6 inhibition and breast cancer recurrence in a population-based study in Denmark.Journal of the National Cancer Institute · 2011Article
- A most stubborn bias: no adjustment method fully resolves confounding by indication in observational studies.Journal of clinical epidemiology · 2010Article
- Breast cancer recurrence in older women five to ten years after diagnosis.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2009Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe choice between paper data collection methods and electronic data collection (EDC) methods has become a key question for clinical researchers. There remains a need to examine potential benefits, efficiencies, and innovations associated with an EDC system in a multi-center medical record review study.
methodsA computer-based automated menu-driven system with 658 data fields was developed for a cohort study of women aged 65 years or older, diagnosed with invasive histologically confirmed primary breast cancer (N = 1859), at 6 Cancer Research Network sites. Medical record review with direct data entry into the EDC system was implemented. An inter-rater and intra-rater reliability (IRR) system was developed using a modified version of the EDC.
resultsAutomation of EDC accelerated the flow of study information and resulted in an efficient data collection process. Data collection time was reduced by approximately four months compared to the project schedule and funded time available for manuscript preparation increased by 12 months. In addition, an innovative modified version of the EDC permitted an automated evaluation of inter-rater and intra-rater reliability across six data collection sites.
conclusionAutomated EDC is a powerful tool for research efficiency and innovation, especially when multiple data collection sites are involved.
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