Evidence map›Paper›PMID 24529031›Full record

Observational studyBMC cancer2014

Approaches for classifying the indications for colonoscopy using detailed clinical data.

Hirut Fassil, Kenneth F Adams, Sheila Weinmann, V Paul Doria-Rose, Eric Johnson, Andrew E Williams, Douglas A Corley, Chyke A Doubeni

Abstract readObservational Study
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Trial
  2. Article
  3. Colonoscopy Complications in an Iranian Teaching Hospital.Middle East journal of digestive diseases · 2022
    Article
  4. The unmet needs for identifying the ideal bowel preparation.JGH open : an open access journal of gastroenterology and hepatology · 2021
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Hirut Fassil
Kenneth F Adams
Sheila Weinmann
V Paul Doria-Rose
Eric Johnson
Andrew E Williams
Douglas A Corley
Chyke A DoubeniDepartment of Family Medicine and Community Health, and the Center for Clinical Epidemiology and Biostatistics at the Perelman School of Medicine, University of Pennsylvania, 222 Blockley Hall, 423 Guardian Drive, Philadelphia, PA 19104, USA. chyke.doubeni@uphs.upenn.edu.

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI SHELLEY L BERGER · 1985 to 2026
$222.3M
Effectiveness of Screening Colonoscopy in Reducing Deaths from Colorectal CancerU01CA151736 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI DOUBENI, CHYKE ABADAMA · 2011 to 2015
$4.5M
SEARCH: Cancer Screening Effectiveness and Research in Community-based HealthcareUC2CA148576 · NCI · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI BUIST, DIANA SM, DOUBENI, CHYKE ABADAMA · 2010 to 2010
$2.0M
NCI NIH HHS P30 CA016520NCI NIH HHS U01CA151736NCI NIH HHS UC2CA148576
6 · The paper itself

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.

Indexed as

Databases, FactualAgedAged, 80 and overAlgorithmsCase-Control StudiesColonoscopyColorectal NeoplasmsEarly Detection of CancerFemaleHumansMaleMiddle AgedRisk Factors

Identifiers

PMID24529031
PMCPMC3927818

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.