Evidence map›Paper›PMID 30242328›Full record

ArticleAnnals of internal medicine2018

Influence of Varying Quantitative Fecal Immunochemical Test Positivity Thresholds on Colorectal Cancer Detection: A Community-Based Cohort Study.

Kevin Selby, Christopher D Jensen, Jeffrey K Lee, Chyke A Doubeni, Joanne E Schottinger, Wei K Zhao, Jessica Chubak, Ethan Halm, Nirupa R Ghai, Richard Contreras and 4 more

Open access · greenAbstract read
In one paragraph

Article in Annals of internal medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 4 pooled it
3.1field-weighted citation impact, top 6% of its field
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

22 citing papers in PubMed, 4 syntheses or guidelines pooled it, 58 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Lower Abnormal Fecal Immunochemical Test Cut-Off Values Improve Detection of Colorectal Cancer in System-Level Screens.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2020
    Trial
  7. Article
  8. Should we screen for colorectal cancer with biennial FIT beginning at age 45 in Canada?Journal of the Canadian Association of Gastroenterology · 2026
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. National cancer screening program for colorectal cancer in Korea.Annals of surgical treatment and research · 2023
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. A risk-stratified approach to colorectal cancer prevention and diagnosis.Nature reviews. Gastroenterology & hepatology · 2020
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 5 institutions in 1 country.

Kevin SelbyKaiser Permanente Northern California, Oakland, California (K.S., C.D.J., J.K.L., W.K.Z., D.A.C.).
Christopher D JensenKaiser Permanente Northern California, Oakland, California (K.S., C.D.J., J.K.L., W.K.Z., D.A.C.).
Jeffrey K LeeKaiser Permanente Northern California, Oakland, California (K.S., C.D.J., J.K.L., W.K.Z., D.A.C.).
Chyke A DoubeniUniversity of Pennsylvania, Philadelphia, Pennsylvania (C.A.D.).
Joanne E SchottingerKaiser Permanente Southern California, Pasadena, California (J.E.S., N.R.G., R.C.).
Wei K ZhaoKaiser Permanente Northern California, Oakland, California (K.S., C.D.J., J.K.L., W.K.Z., D.A.C.).
Jessica ChubakKaiser Permanente Center for Health Research, Seattle, Washington (J.C., A.K.).
Ethan HalmUniversity of Texas Southwestern Medical Center, Dallas, Texas (E.H., C.S.).
Nirupa R GhaiKaiser Permanente Southern California, Pasadena, California (J.E.S., N.R.G., R.C.).
Richard ContrerasKaiser Permanente Southern California, Pasadena, California (J.E.S., N.R.G., R.C.).
Celette SkinnerUniversity of Texas Southwestern Medical Center, Dallas, Texas (E.H., C.S.).
Aruna KamineniKaiser Permanente Center for Health Research, Seattle, Washington (J.C., A.K.).
Theodore R LevinKaiser Permanente Medical Center, Walnut Creek, California (T.R.L.).
Douglas A CorleyKaiser Permanente Northern California, Oakland, California (K.S., C.D.J., J.K.L., W.K.Z., D.A.C.).
Kaiser Permanente · USKaiser Permanente Center for Health Research · USThe University of Texas Southwestern Medical Center · USKaiser Permanente Walnut Creek Medical Center · USUniversity of Pennsylvania · US

Funding

Optimizing Colorectal Cancer Screening PREcision and Outcomes in CommunIty-baSEd Populations (PRECISE)UM1CA222035 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI CHUBAK, JESSICA, CORLEY, DOUGLAS ALLEN · 2018 to 2023
$15.6M
Optimizing the use of colonoscopy for CRC screening in a large community-basedU54CA163262 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI CORLEY, DOUGLAS ALLEN, DOUBENI, CHYKE ABADAMA · 2011 to 2017
$9.6M
Effectiveness of screening for colorectal cancer in average risk adults: Colonoscopy vs. FITR01CA213645 · NCI · UNIVERSITY OF PENNSYLVANIA · PI DOUBENI, CHYKE ABADAMA · 2017 to 2021
$3.2M
Optimizing long-term post-polypectomy surveillance for colorectal cancer prevention using a prediction rule developed from a large, community-based cohortK07CA212057 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LEE, JEFFREY KUANG ZOU · 2016 to 2020
$869k
NCI NIH HHS K07 CA212057NCI NIH HHS R01 CA213645NCI NIH HHS U54 CA163262NCI NIH HHS UM1 CA222035
6 · The paper itself

Abstract

Background: The fecal immunochemical test (FIT) is commonly used for colorectal cancer (CRC) screening. Despite demographic variations in stool hemoglobin concentrations, few data exist regarding optimal positivity thresholds by age and sex. Objective: To identify programmatic (multitest) FIT performance characteristics and optimal FIT quantitative hemoglobin positivity thresholds in a large, population-based, screening program. Design: Retrospective cohort study. Setting: Kaiser Permanente Northern and Southern California. Participants: Adults aged 50 to 75 years who were eligible for screening and had baseline quantitative FIT results (2013 to 2014) and 2 years of follow-up. Nearly two thirds (411 241) had FIT screening in the previous 2 years. Measurements: FIT programmatic sensitivity for CRC and number of positive test results per cancer case detected, overall and by age and sex. Results: Of 640 859 persons who completed a baseline FIT and were followed for 2 years, 481 817 (75%) had at least 1 additional FIT and 1245 (0.19%) received a CRC diagnosis. Cancer detection (programmatic sensitivity) increased at lower positivity thresholds, from 822 in 1245 (66.0%) at 30 µg/g to 925 (74.3%) at 20 µg/g and 987 (79.3%) at 10 µg/g; the number of positive test results per cancer case detected increased from 43 at 30 µg/g to 52 at 20 µg/g and 85 at 10 µg/g. Reducing the positivity threshold from 20 to 15 µg/g would detect 3% more cancer cases and require 23% more colonoscopies. At the conventional FIT threshold of 20 µg/g, programmatic sensitivity decreased with increasing age (79.0%, 73.4%, and 68.9% for ages 50 to 59, 60 to 69, and 70 to 75 years, respectively; P = 0.009) and was higher in men than women (77.0% vs. 70.6%; P = 0.011). Limitation: Information on advanced adenoma was lacking. Conclusion: Increased cancer detection at lower positivity thresholds is counterbalanced by substantial increases in positive tests. Tailored thresholds may provide screening benefits that are more equal among different demographic groups, depending on local resources. Primary Funding Source: National Cancer Institute.

Indexed as

AgedAge FactorsColorectal NeoplasmsEarly Detection of CancerFecesFemaleHemoglobinsHumansMaleMiddle AgedRetrospective StudiesSensitivity and SpecificitySex FactorsHemoglobins

Identifiers

PMID30242328
PMCPMC6433467
OpenAlexW2890317766

What OpenQuestion holds

Textmetadata
LicenceTDM
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.