Observational studyBMC cancer2014
Approaches for classifying the indications for colonoscopy using detailed clinical data.
Observational study in BMC cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Pharmacokinetics of oral mannitol for bowel preparation for colonoscopy.Clinical and translational science · 2022Trial
- Fecal Immunochemical Test Screening and Risk of Colorectal Cancer Death.JAMA network open · 2024Article
- Colonoscopy Complications in an Iranian Teaching Hospital.Middle East journal of digestive diseases · 2022Article
- The unmet needs for identifying the ideal bowel preparation.JGH open : an open access journal of gastroenterology and hepatology · 2021Review
- Colonoscopy Indication Algorithm Performance Across Diverse Health Care Systems in the PROSPR Consortium.EGEMS (Washington, DC) · 2019Article
- Changes in screening colonoscopy following Medicare reimbursement and cost-sharing changes.Health services research · 2019Article
- Modifiable Failures in the Colorectal Cancer Screening Process and Their Association With Risk of Death.Gastroenterology · 2019Article
- Article
- Challenges With Identifying Indication for Examination in Breast Imaging as a Key Clinical Attribute in Practice, Research, and Policy.Journal of the American College of Radiology : JACR · 2017Article
- Observational methods to assess the effectiveness of screening colonoscopy in reducing right colon cancer mortality risk: SCOLAR.Journal of comparative effectiveness research · 2015Article
- A joint model for multistate disease processes and random informative observation times, with applications to electronic medical records data.Biometrics · 2015Article
- Development of an Algorithm to Classify Colonoscopy Indication from Coded Health Care Data.EGEMS (Washington, DC) · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundAccurate indication classification is critical for obtaining unbiased estimates of colonoscopy effectiveness and quality improvement efforts, but there is a dearth of published systematic classification approaches. The objective of this study was to evaluate the effects of data-source and adjudication on indication classification and on estimates of the effectiveness of screening colonoscopy on late-stage colorectal cancer diagnosis risk.
methodsThis was an observational study in members of four U.S. health plans. Eligible persons (n = 1039) were age 55-85 and had been enrolled for 5 years or longer in their health plans during 2006-2008. Patients were selected based on late-stage colorectal cancer diagnosis in a case-control design; each case patient was matched to 1-2 controls by study site, age, sex, and health plan enrollment duration. Reasons for colonoscopies received in the 10-year period before the reference date were collected from three medical records sources (progress notes; referral notes; procedure reports) and categorized using an algorithm, with committee adjudication of some tests. We evaluated indication classification concordance before and after adjudication and used logistic regressions with the Wald Chi-square test to compare estimates of the effects of screening colonoscopy on late-stage colorectal cancer diagnosis risk for each of our data sources to the adjudicated indication.
resultsClassification agreement between each data-source and adjudication was 78.8-94.0% (weighted kappa = 0.53-0.72); the highest agreement (weighted kappa = 0.86-0.88) was when information from all data sources was considered together. The choice of data-source influenced the association between screening colonoscopy and late-stage colorectal cancer diagnosis; estimates based on progress notes were closest to those based on the adjudicated indication (% difference in regression coefficients = 2.4%, p-value = 0.98), as compared to estimates from only referral notes (% difference in coefficients = 34.9%, p-value = 0.12) or procedure reports (% difference in coefficients = 27.4%, p-value = 0.23).
conclusionThere was no single gold-standard source of information in medical records. The estimates of colonoscopy effectiveness from progress notes alone were the closest to estimates using adjudicated indications. Thus, the details in the medical records are necessary for accurate indication classification.
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