Evidence map›Paper›PMID 34160709›Full record

ArticleCancer causes & control : CCC2021

Longer time-to-treatment but better survival for colorectal cancer patients presumptively not diagnosed in a hospital.

Cara L Frankenfeld, Timothy F Leslie, Nirup M Menon

Abstract read
PubMed Publisher
In one paragraph

Article in Cancer causes & control : CCC, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

3 authors.

Cara L FrankenfeldGlobal and Community Health, George Mason University, 4400 University Drive MS 5B7, Fairfax, VA, 22030, USA. cfranken@gmu.edu.ORCID http://orcid.org/0000-0002-2318-0791
Timothy F LeslieGeography and Geoinformation Science, George Mason University, Fairfax, VA, USA.ORCID http://orcid.org/0000-0002-4928-3705
Nirup M MenonSchool of Business, George Mason University, Fairfax, VA, USA.ORCID http://orcid.org/0000-0002-0544-5127

Funding

George Mason University 215008
6 · The paper itself

Abstract

purposeTo evaluate time-to-treatment and survival time in colorectal cancer (CRC) patients who presumptively were not diagnosed in a hospital.

methodsColorectal tumor-level data from Georgia Cancer Registry (GCR) was merged with American Hospital Association data for 2010-2015 using hospital identification number. Patients with tumors lacking a diagnosis hospital in the GCR were classified as presumptive non-hospital diagnosis (PNHD). Cox proportional hazard models were used to model PNHD and time-to-treatment and time-to-death following cancer diagnosis, stratified by race and controlling for personal and tumor characteristics.

resultsPNHD (n = 6,885, 29.6%) was associated with a lower likelihood of treatment at a given point in time (i.e., longer time-to-treatment), but did not differ for Black (HR = 0.77, 95% CI: 0.73, 0.82) and White (HR = 0.73, 95% CI: 0.71, 0.76) patients. Time-to-death was longer (i.e., better survival) with PNHD, which also did not differ for Black (HR = 0.70, 95% CI: 0.64, 0.76) and White (HR = 0.71, 95% CI: 0.67, 0.75) patients. These results were not explained by confounding factors or differences in tumor stage at diagnosis.

conclusionsThese observations warrant further research to understand whether there are potentially modifiable factors associated with the diagnosing location that can be used to benefit patient treatment trajectory and survival.

Indexed as

Colorectal NeoplasmsTime-to-TreatmentHospitalsHumansProportional Hazards ModelsRegistriesColorectalDiagnosisSurvivalTime-to-treatment

Identifiers

PMID34160709

What OpenQuestion holds

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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.