Evidence map›Paper›PMID 36197902›Full record

ArticlePloS one2022

The impact of patient travel time on disparities in treatment for early stage lung cancer in California.

Chelsea A Obrochta, Humberto Parada, James D Murphy, Atsushi Nara, Dennis Trinidad, Maria Rosario Happy Araneta, Caroline A Thompson

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

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  12. Equity of travel to access surgery and radiation therapy for lung cancer in New Zealand.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
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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

7 authors at 3 institutions in 1 country.

Chelsea A ObrochtaSan Diego State University, School of Public Health, San Diego, California, United States of America.
Humberto ParadaSan Diego State University, School of Public Health, San Diego, California, United States of America.
James D MurphyUniversity of California San Diego, Moores Cancer Center, La Jolla, California, United States of America.
Atsushi NaraDepartment of Geography, San Diego State University, San Diego, California, United States of America.
Dennis TrinidadUniversity of California San Diego, School of Medicine, La Jolla, California, United States of America.
Maria Rosario Happy AranetaUniversity of California San Diego, School of Medicine, La Jolla, California, United States of America.
Caroline A ThompsonSan Diego State University, School of Public Health, San Diego, California, United States of America.ORCID 0000-0001-9990-9756
San Diego State University · USUniversity of California San Diego · USUniversity of North Carolina at Chapel Hill · US

Funding

Research Education CoreU54CA132384 · NCI · SAN DIEGO STATE UNIVERSITY · PI CRIPPS, RICHARD MATTHEW, CROWE, SHEILA E. · 2008 to 2022
$20.7M
Research Education CoreU54CA132379 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ARREDONDO, ELVA M, CROWE, SHEILA E. · 2008 to 2021
$16.1M
San Diego Resource Center for advancing Alzheimer's Research in Minority Seniors (ARMS)P30AG059299 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JOHN P. ELDER, PAUL E GILBERT · 2018 to 2026
$7.4M
Red Blood Cell Polyunsaturated Fatty Acids and Breast Cancer Mortality in the Women's Healthy Eating and Living (WHEL) StudyK01CA234317 · NCI · SAN DIEGO STATE UNIVERSITY · PI PARADA, HUMBERTO · 2019 to 2023
$928k
NCI NIH HHS K01 CA234317NCI NIH HHS U54 CA132379NCI NIH HHS U54 CA132384NIA NIH HHS P30 AG059299
6 · The paper itself

Abstract

backgroundTravel time to treatment facilities may impede the receipt of guideline-concordant treatment (GCT) among patients diagnosed with early-stage non-small cell lung cancer (ES-NSCLC). We investigated the relative contribution of travel time in the receipt of GCT among ES-NSCLC patients.

methodsWe included 22,821 ES-NSCLC patients diagnosed in California from 2006-2015. GCT was defined using the 2016 National Comprehensive Cancer Network guidelines, and delayed treatment was defined as treatment initiation >6 versus ≤6 weeks after diagnosis. Mean-centered driving and public transit times were calculated from patients' residential block group centroid to the treatment facilities. We used logistic regression to estimate risk ratios and 95% confidence intervals (CIs) for the associations between patients' travel time and receipt of GCT and timely treatment, overall and by race/ethnicity and neighborhood socioeconomic status (nSES).

resultsOverall, a 15-minute increase in travel time was associated with a decreased risk of undertreatment and delayed treatment. Compared to Whites, among Blacks, a 15-minute increase in driving time was associated with a 24% (95%CI = 8%-42%) increased risk of undertreatment, and among Filipinos, a 15-minute increase in public transit time was associated with a 27% (95%CI = 13%-42%) increased risk of delayed treatment. Compared to the highest nSES, among the lowest nSES, 15-minute increases in driving and public transit times were associated with 33% (95%CI = 16%-52%) and 27% (95%CI = 16%-39%) increases in the risk of undertreatment and delayed treatment, respectively.

conclusionThe benefit of GCT observed with increased travel times may be a 'Travel Time Paradox,' and may vary across racial/ethnic and socioeconomic groups.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsCaliforniaEthnicityHealthcare DisparitiesHumansSocial Class

Identifiers

PMID36197902
PMCPMC9534452
OpenAlexW4302013488

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.