Evidence map›Paper›PMID 38980792›Full record

Observational studyThe Permanente journal2024

Representativeness of Patients With Lung Cancer in an Integrated Health Care Delivery System.

Mike Z Yang, Raymond Liu, Julie Von Behren, Katherine Lin, Alyce S Adams, Lawrence H Kushi, Charles P Quesenberry, Jeffrey B Velotta, Melisa L Wong, Kelly C Young-Wolff and 3 more

Abstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in The Permanente journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

13 authors.

Mike Z YangInternal Medicine Residency, Kaiser Permanente Northern California, San Francisco, CA, USA.
Raymond LiuDepartment of Medical Oncology, Kaiser Permanente Northern California, San Francisco, CA, USA.ORCID 0000-0002-4667-9632
Julie Von BehrenDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Katherine LinDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Alyce S AdamsDepartment of Health Policy, Stanford University School of Medicine, Stanford, CA, USA.
Lawrence H KushiDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Charles P QuesenberryDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Jeffrey B VelottaDepartment of Thoracic Surgery, Kaiser Permanente Northern California, Oakland, CA, USA.
Melisa L WongDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Kelly C Young-WolffDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Scarlett L GomezDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Salma Shariff-MarcoDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Lori C SakodaDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.ORCID 0000-0002-0900-5735

Funding

Multilevel Determinants of Racial/Ethnic Disparities in Lung Cancer Screening UtilizationR01CA263322 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI Lori Sakoda · 2022 to 2026
$2.3M
Advancing patient-centered decision making in older adults with lung cancer: Incorporating risk of functional decline into treatment discussionsK76AG064431 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WONG, MELISA L · 2019 to 2023
$1.3M
NCI NIH HHS R01 CA263322NIA NIH HHS K76 AG064431
6 · The paper itself

Abstract

introductionObservational research is important for understanding the real-world benefits of advancements in lung cancer care. Integrated health care systems, such as Kaiser Permanente Northern California, have extensive electronic health records suitable for such research, but the generalizability of their populations is often questioned.

methodsLeveraging data from the California Cancer Registry, the authors compared distributions of demographic and clinical characteristics, in addition to neighborhood and environmental conditions, between patients diagnosed with lung cancer from 2015 through 2019 at Kaiser Permanente Northern California, National Cancer Institute-designated cancer centers (NCICCs), and all other non-NCICC hospitals within the same catchment area.

resultsOf 20,178 included patients, 30% were from Kaiser Permanente Northern California, 8% from NCICCs, and 62% from other non-NCICC hospitals. Compared to NCICC patients, Kaiser Permanente Northern California patients were more similar to other non-NCICC patients on most characteristics. Compared to other non-NCICC patients, Kaiser Permanente Northern California patients were slightly older, more likely to be female, and less likely to be Hispanic or Asian/Pacific Islander and to reside in lower socioeconomic status (SES) neighborhoods. In contrast, NCICC patients were younger, less likely to be female or from non-Asian/Pacific Islander minoritized racial groups, and more likely to present with early-stage disease and adenocarcinoma and to reside in neighborhoods with higher SES and lower air pollution than Kaiser Permanente Northern California or other non-NCICC patients. DISCUSSION: Patients from Kaiser Permanente Northern California, compared to NCICCs, are more broadly representative of the underlying patient population with lung cancer.

conclusionResearch using electronic health record data from integrated health care systems can contribute generalizable real-world evidence to benchmark and improve lung cancer care.

Indexed as

Delivery of Health Care, IntegratedLung NeoplasmsAdultAgedAged, 80 and overCaliforniaElectronic Health RecordsFemaleHumansMaleMiddle AgedRegistriesintegrated health care systemsLung cancerobservational research

Identifiers

PMID38980792
PMCPMC11404640

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.