Evidence map›Paper›PMID 35641376›Full record

ArticleClinical lung cancer2022

Impact of Comorbidities on Lung Cancer Screening Evaluation.

Eric M Robinson, Benjamin Y Liu, Keith Sigel, Chung Yin, Juan Wisnivesky, Minal S Kale

Open access · greenAbstract read
In one paragraph

Article in Clinical lung cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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  8. Lung cancer in middle and southern Morocco.Ecancermedicalscience · 2023
    Article
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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

6 authors at 1 institution in 1 country.

Eric M RobinsonDivision of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, NY. Electronic address: Eric.Robinson@icahn.mssm.edu.
Benjamin Y LiuDivision of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, NY.
Keith SigelDivision of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, NY.
Chung YinDivision of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, NY.
Juan WisniveskyDivision of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, NY.
Minal S KaleDivision of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, NY.
Icahn School of Medicine at Mount Sinai · US

Funding

Investigating the Roles of Patient Beliefs, Stigma, and Physician Implicit Bias on Disparities in Lung Cancer ScreeningR01MD014890 · NIMHD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KALE, MINAL S, SMITH, CARDINALE B · 2021 to 2025
$4.1M
NIMHD NIH HHS R01 MD014890
6 · The paper itself

Abstract

objectivesWe used data from the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial to examine the impact of self-reported chronic obstructive pulmonary disease, coronary artery disease, stroke, and diabetes mellitus on diagnostic complications in lung cancer screening evaluation.

methodsIn our analysis, we included individuals from the usual care and intervention (annual chest x-ray) of the lung cancer screening trial with equal or greater than 55 years of age with a 20 pack-year smoking history who had undergone an invasive procedure. We performed multivariate logistic regression analysis to estimate the association of comorbidity on procedure complication. Our primary outcome was the incidence of major or moderate complications.

resultsFeatures associated with high-risk complication included older age (OR = 1.03 per year, P = .001), history of coronary artery disease (OR = 1.40, P = .03), history of diabetes mellitus (OR = 0.41, P < .001, current smoking status (OR = 1.46, P ≤ .001), surgical biopsy (OR = 7.39, P < .001), needle biopsy (OR = 1.94, P < .001), and other invasive procedure (OR = 1.58, P < .001). We did not find an associated with complication and history of stroke (OR = 0.84, P = .53) or chronic obstructive pulmonary disease (OR = 1.27, P = .06).

conclusionPatient and procedure-level factors may alter the benefits of lung cancer screening. Data concerning individual risk factors and high-risk complications should therefore be incorporated into diagnostic algorithms to optimize clinical benefit and minimize harm. Further study and validation of the risk factors identified herein are warranted.

Indexed as

Early Detection of CancerLung NeoplasmsClinical Trials as TopicComorbidityCoronary Artery DiseaseDiabetes MellitusHumansMalePulmonary Disease, Chronic ObstructiveStrokeBiopsyComorbiditiesDiagnostic screening programsEarly detection of cancerLung Cancer ScreeningLung neoplasms

Identifiers

PMID35641376
PMCPMC9814245
OpenAlexW4225166526

What OpenQuestion holds

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LicenceTDM
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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.