Evidence map›Paper›PMID 38490619›Full record

ArticleInternational journal of radiation oncology, biology, physics2024

Disparities in Access to Multidisciplinary Cancer Consultations and Treatment for Patients With Early-Stage Non-Small Cell Lung Cancer: A SEER-Medicare Analysis.

You-Chi Liu, Rachel O Schmidt, Nirav S Kapadia, Joseph D Phillips, Erika L Moen

Open access · greenAbstract read
In one paragraph

Article in International journal of radiation oncology, biology, physics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 6 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

5 authors at 4 institutions in 1 country.

You-Chi LiuSchool of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts.
Rachel O SchmidtDartmouth Institute for Health Policy and Clinical Practice, Lebanon, New Hampshire.
Nirav S KapadiaDartmouth Institute for Health Policy and Clinical Practice, Lebanon, New Hampshire; Dartmouth Cancer Center, Lebanon, New Hampshire; Department of Medicine, Dartmouth-Health, Lebanon, New Hampshire.
Joseph D PhillipsDartmouth Cancer Center, Lebanon, New Hampshire; Department of Surgery, Dartmouth-Health, Lebanon, New Hampshire.
Erika L MoenDartmouth Institute for Health Policy and Clinical Practice, Lebanon, New Hampshire; Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire. Electronic address: Erika.L.Moen@dartmouth.edu.
Dartmouth Institute for Health Policy and Clinical Practice · USDartmouth College · USDartmouth Psychiatric Research Center · USHarvard University · US

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
Improving cancer health equity by targeting physician networksR37CA263936 · NCI · DARTMOUTH COLLEGE · PI MOEN, ERIKA · 2021 to 2025
$2.3M
NCI NIH HHS HHSN261201800009CNCI NIH HHS HHSN261201800009INCI NIH HHS HHSN261201800015CNCI NIH HHS HHSN261201800015INCI NIH HHS HHSN261201800032CNCI NIH HHS HHSN261201800032INCI NIH HHS P30 CA023108NCI NIH HHS R37 CA263936
6 · The paper itself

Abstract

purposeDisparities in access to a multidisciplinary cancer consultation (MDCc) persist, and the role of physician relationships remains understudied. This study examined the extent to which multilevel factors, including patient characteristics and patient-sharing network measures reflecting the structure of physician relationships, are associated with an MDCc and receipt of stereotactic body radiation therapy versus surgery among patients with early-stage non-small cell lung cancer (NSCLC). METHODS AND MATERIALS: In this cross-sectional study, we analyzed Surveillance, Epidemiology, and End Results (SEER)-Medicare data for patients diagnosed with stage I-IIA NSCLC from 2016 to 2017. We assembled patient-sharing networks and identified cancer specialists who were locally unique for their specialty, herein referred to as linchpins. The proportion of linchpin cancer specialists for each hospital referral region (HRR) was calculated as a network-based measure of specialist scarcity. We used multilevel multinomial logistic regression to estimate associations between study variables and receipt of an MDCc and multilevel logistic regression to examine the relationship between patient receipt of an MDCc and initial treatment.

resultsOur study included 6120 patients with stage I-IIA NSCLC, of whom 751 (12.3%) received an MDCc, 1729 (28.3%) consulted only a radiation oncologist, 2010 (32.8%) consulted only a surgeon, and 1630 (26.6%) consulted neither specialist within 2 months of diagnosis. Compared with patients residing in an HRR with a low proportion of linchpin surgeons, those residing in an HRR with a high proportion of linchpin surgeons had a 2.99 (95% CI, 1.87-4.78) greater relative risk of consulting only a radiation oncologist versus receiving an MDCc and a 2.70 (95% CI, 1.68-4.35) greater relative risk of consulting neither specialist versus receiving an MDCc. Patients who received an MDCc were 5.32 times (95% CI, 4.27-6.63) more likely to receive stereotactic body radiation therapy versus surgery.

conclusionsPhysician networks are associated with receipt of an MDCc and treatment, underscoring the potential for leveraging patient-sharing network analysis to improve access to lung cancer care.

Indexed as

Carcinoma, Non-Small-Cell LungHealthcare DisparitiesHealth Services AccessibilityLung NeoplasmsMedicareRadiosurgeryReferral and ConsultationSEER ProgramAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleNeoplasm StagingPatient Care Team

Identifiers

PMID38490619
PMCPMC11329352
OpenAlexW4392748032

What OpenQuestion holds

Textmetadata
LicenceTDM
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.