Evidence map›Paper›PMID 23446843›Full record

ArticleCancer causes & control : CCC2013

Do diagnostic and treatment delays for colorectal cancer increase risk of death?

Sandi L Pruitt, Amy Jo Harzke, Nicholas O Davidson, Mario Schootman

Abstract read
In one paragraph

Article in Cancer causes & control : CCC, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 5 pooled it
–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

46 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  17. Hepatopancreatobiliary malignancies: time to treatment matters.Journal of gastrointestinal oncology · 2023
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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

4 authors.

Sandi L PruittDepartment of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390-9169, USA. sandi.pruitt@utsouthwestern.edu
Amy Jo Harzke
Nicholas O Davidson
Mario Schootman

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN · 2001 to 2026
$128.0M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Washington University DDRCC Supplemental Equipment RequestP30DK052574 · NIDDK · WASHINGTON UNIVERSITY · PI Nicholas O. Davidson · 2000 to 2026
$30.8M
Washington University Institute of Clinical and Translational SciencesKL2TR000450 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$8.8M
Washington University Institute of Clinical and Translational Sciences (KL2)KL2RR024994 · NCRR · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2007 to 2011
$8.6M
HEPATIC SYNTHESIS AND SECRETION OF APOLIPOPROTEIN (A)R01DK056260 · NIDDK · WASHINGTON UNIVERSITY · PI DAVIDSON, NICHOLAS O. · 1999 to 2017
$5.9M
ENTEROHEPATIC LIPID FLUX AND APOPROTEIN BIOSYNTHESIS.R37HL038180 · NHLBI · WASHINGTON UNIVERSITY · PI DAVIDSON, NICHOLAS O. · 2000 to 2009
$5.1M
ENTEROHEPATIC LIPID FLUX AND APOPROTEIN BIOSYNTHESISR01HL038180 · NHLBI · WASHINGTON UNIVERSITY · PI DAVIDSON, NICHOLAS O. · 1986 to 2018
$3.8M
Geographic Disparities in Colorectal Cancer SurvivalR01CA137750 · NCI · WASHINGTON UNIVERSITY · PI SCHOOTMAN, MARIO · 2009 to 2014
$2.0M
Neighborhood effects on Quality of Life in Breast CancerR01CA112159 · NCI · WASHINGTON UNIVERSITY · PI SCHOOTMAN, MARIO · 2005 to 2009
$1.6M
NCATS NIH HHS KL2 TR000450NCATS NIH HHS UL1 TR000448NCI NIH HHS CA112159NCI NIH HHS P30 CA091842NCI NIH HHS P30 CA91842NCI NIH HHS R01 CA112159NCI NIH HHS R01 CA137750NCRR NIH HHS KL2 RR024994NCRR NIH HHS KL2RR024994NHLBI NIH HHS HL-38180NHLBI NIH HHS R01 HL038180NHLBI NIH HHS R37 HL038180NIDDK NIH HHS DK-52574NIDDK NIH HHS DK-56260NIDDK NIH HHS P30 DK052574NIDDK NIH HHS R01 DK056260
6 · The paper itself

Abstract

backgroundUsing 1998-2005 SEER-Medicare data, we examined the effect of diagnostic and treatment delays on all-cause and colorectal cancer (CRC)-specific death among US adults aged ≥ 66 years with invasive colon or rectal cancer. We hypothesized that longer delays would be associated with a greater risk of death.

methodsWe defined diagnostic and treatment delays, respectively, as days between (1) initial medical consult for CRC symptoms and pathologically confirmed diagnosis (maximum: 365 days) and (2) pathologically confirmed diagnosis and treatment (maximum: 120 days). Cases (CRC deaths) and controls (deaths due to other causes or censored) were matched on survival time. Logistic regression analyses adjusted for sociodemographic, tumor, and treatment factors.

resultsMedian diagnostic delays were 60 (colon) and 40 (rectal) days and treatment delays were 13 (colon) and 16 (rectal) days in 10,663 patients. Colon cancer patients with the longest diagnostic delays (8-12 months vs. 14-59 days) had higher odds of all-cause (aOR: 1.31 CI: 1.08-1.58), but not CRC-specific death. Colon cancer patients with the shortest treatment delays (<1 vs. 1-2 weeks) had higher odds of all-cause (aOR: 1.23 CI: 1.01-1.49), but not CRC-specific death. Among rectal cancer patients, delays were not associated with risk of all-cause or CRC-specific death.

conclusionsLonger delays of up to 1 year after symptom onset and 120 days for treatment did not increase odds of CRC-specific death. There may be little clinical benefit in detecting and treating existing symptomatic disease earlier. Screening prior to symptom onset must remain the primary goal to reduce CRC incidence, morbidity, and mortality.

Indexed as

AgedAged, 80 and overColonColorectal NeoplasmsEarly Detection of CancerFemaleHumansLogistic ModelsMaleRisk AssessmentSEER ProgramTime Factors

Identifiers

PMID23446843
PMCPMC3708300

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Registered trials

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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.