Evidence map›Paper›PMID 34583638›Full record

ArticleBMC gastroenterology2021

Follow-up colonoscopy after an abnormal stool-based colorectal cancer screening result: analysis of steps in the colonoscopy completion process.

Gloria D Coronado, Alexandra Kihn-Stang, Matthew T Slaughter, Amanda F Petrik, Jamie H Thompson, Jennifer S Rivelli, Ricardo Jimenez, Jeffrey Gibbs, Neha Yadav, Rajasekhara R Mummadi

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC gastroenterology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03925883 (Predicting and Addressing Colonoscopy in Safety Net Settings), which is not on this map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 24% 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.

NCT03925883 nacompletednot on this map

Predicting and Addressing Colonoscopy in Safety Net Settings

TypeinterventionalSponsorKaiser PermanenteRan2019 to 2023Enrolled1,200ConditionsColorectal CancerArmsPatient navigation
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Gloria D CoronadoCenter for Health Research, Kaiser Permanente Northwest, 3800 North Interstate Avenue, Portland, OR, 97227, USA. Gloria.D.Coronado@kpchr.org.
Alexandra Kihn-StangCenter for Health Research, Kaiser Permanente Northwest, 3800 North Interstate Avenue, Portland, OR, 97227, USA.
Matthew T SlaughterCenter for Health Research, Kaiser Permanente Northwest, 3800 North Interstate Avenue, Portland, OR, 97227, USA.
Amanda F PetrikCenter for Health Research, Kaiser Permanente Northwest, 3800 North Interstate Avenue, Portland, OR, 97227, USA.
Jamie H ThompsonCenter for Health Research, Kaiser Permanente Northwest, 3800 North Interstate Avenue, Portland, OR, 97227, USA.
Jennifer S RivelliCenter for Health Research, Kaiser Permanente Northwest, 3800 North Interstate Avenue, Portland, OR, 97227, USA.
Ricardo JimenezSea Mar Community Health Centers, Seattle, WA, USA.
Jeffrey GibbsSea Mar Community Health Centers, Seattle, WA, USA.
Neha YadavSea Mar Community Health Centers, Seattle, WA, USA.
Rajasekhara R MummadiNorthwest Permanente Medical Group, Portland, OR, USA.
Kaiser Permanente Center for Health Research · USCommunity Health Center · USColorado Permanente Medical Group · US

Funding

Prediciting and addressing colonoscopy non-adherence in community settingsR01CA218923 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI CORONADO, GLORIA D · 2018 to 2022
$3.5M
foundation for the national institutes of health R01CA218923NCI NIH HHS R01 CA218923
6 · The paper itself

Abstract

backgroundDelays in receiving follow-up colonoscopy after an abnormal fecal immunochemical test (FIT) result are associated with increased colorectal cancer incidence and mortality. Little is known about patterns of follow-up colonoscopy completion in federally qualified health centers.

methodsWe abstracted the medical records of health center patients, aged 50-75 years, who had an abnormal FIT result between August 5, 2017 and August 4, 2018 (N = 711). We assessed one-year rates of colonoscopy referral, pre-procedure visit completion, colonoscopy completion, and time to colonoscopy; associations between these outcomes and patient characteristics; and reasons for non-completion found in the medical record.

resultsOf the 711 patients with an abnormal FIT result, 90% were referred to colonoscopy, but only 52% completed a pre-procedure visit, and 43% completed a colonoscopy within 1 year. Median time to colonoscopy was 83 days (interquartile range: 52-131 days). Pre-procedure visit and colonoscopy completion rates were relatively low in patients aged 65-75 (vs. 50-64), who were uninsured (vs. insured) or had no clinic visit in the prior year (vs. ≥ 1 clinic visit). Common reasons listed for non-completion were that the patient declined, or the provider could not reach the patient. DISCUSSION: Efforts to improve follow-up colonoscopy rates in health centers might focus on supporting the care transition from primary to specialty gastroenterology care and emphasize care for older uninsured patients and those having no recent clinic visits. Our findings can inform efforts to improve follow-up colonoscopy uptake, reduce time to colonoscopy receipt, and save lives from colorectal cancer.

trial registrationNational Clinical Trial (NCT) Identifier: NCT03925883.

Indexed as

Colorectal NeoplasmsEarly Detection of CancerColonoscopyFollow-Up StudiesHumansReferral and ConsultationColonoscopy pathwayFederally qualified health centersFollow-up colonoscopyReasons for non-adherenceTime to colonoscopy

Identifiers

PMID34583638
PMCPMC8477359
OpenAlexW3204882797

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.