Evidence map›Paper›PMID 28463963›Full record

ArticleBritish journal of cancer2017

The contribution of body mass index to appraisal delay in colorectal cancer diagnosis: a structural equation modelling study.

Karen E Dyer, Levent Dumenci, Laura A Siminoff, Maria D Thomson, Jennifer Elston Lafata

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Studying Healthcare Affordability during an Economic Recession: The Case of Greece.International journal of environmental research and public health · 2020
    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

5 authors at 1 institution in 1 country.

Karen E DyerVirginia Commonwealth University, School of Medicine, Department of Health Behavior and Policy, P.O. Box 980149, Richmond, VA 23298, USA.
Levent DumenciVirginia Commonwealth University, School of Medicine, Department of Health Behavior and Policy, P.O. Box 980149, Richmond, VA 23298, USA.
Laura A SiminoffVirginia Commonwealth University, School of Medicine, Department of Health Behavior and Policy, P.O. Box 980149, Richmond, VA 23298, USA.
Maria D ThomsonVirginia Commonwealth University, School of Medicine, Department of Health Behavior and Policy, P.O. Box 980149, Richmond, VA 23298, USA.
Jennifer Elston LafataVirginia Commonwealth University, School of Medicine, Department of Health Behavior and Policy, P.O. Box 980149, Richmond, VA 23298, USA.
Virginia Commonwealth University · US

Funding

Appraisal and Diagnostic Delay in Colon CancerR01CA124607 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI THOMSON, MARIA D. · 2008 to 2012
$3.8M
Training Program in Behavioral and Health Services Cancer Control ResearchR25CA093423 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI BROWN, RICHARD FREDERICK · 2002 to 2015
$2.9M
NCI NIH HHS R01 CA124607NCI NIH HHS R25 CA093423
6 · The paper itself

Abstract

backgroundAppraisal delay (AD) refers to the time interval between onset of symptoms and the date a patient first seeks healthcare. Because studies have shown that individuals who are overweight or obese may delay or avoid seeking healthcare due to stigma, this study aims to investigate the role that weight plays in AD among symptomatic individuals subsequently diagnosed with colorectal cancer (CRC).

methodsStructural equation modelling tested the relationship between AD, body mass index (BMI), financial barriers, cognitive barriers, and reported symptoms among 179 newly diagnosed CRC patients in two U.S. healthcare systems.

resultsBMI was directly and significantly related to AD (β=0.10; P=0.044) and to cognitive barriers (β=0.24; P=0.005). Cognitive barriers were direct and significant predictors of increased AD (β=0.32; P=0.000). Symptom experience and financial barriers were mediated through cognitive barriers.

conclusionsModel results support the hypothesis that increased BMI is significantly and directly associated with increased AD and key cognitive barriers relevant to care-seeking behaviour.

Indexed as

Body Mass IndexModels, TheoreticalPatient Acceptance of Health CareAgedBody WeightColorectal NeoplasmsCross-Sectional StudiesDelayed DiagnosisFearFemaleHealth BehaviorHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedObesity

Identifiers

PMID28463963
PMCPMC5518852
OpenAlexW2611274539

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.