Evidence map›Paper›PMID 33823116›Full record

ArticleAmerican journal of respiratory and critical care medicine2021

Machine Learning for Early Lung Cancer Identification Using Routine Clinical and Laboratory Data.

Michael K Gould, Brian Z Huang, Martin C Tammemagi, Yaron Kinar, Ron Shiff

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in American journal of respiratory and critical care medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06473870 (Understanding Lung Cancer Related Risk Factors and Their Impact), which is not on this map. Cited by 97 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed, 7 pooled it
15.0field-weighted citation impact, top 1% 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.

NCT06473870 not yet recruitingnot on this mapstarted 2024, after this paper: background citation

Understanding Lung Cancer Related Risk Factors and Their Impact

Typeobservational_patient_registrySponsorBiobizkaia Health Research InstituteRan2024 to 2027Enrolled6,160ConditionsLung Cancer Screening
3 · Its place in the literature

Who cites it

97 citing papers in PubMed, 7 syntheses or guidelines pooled it, 166 citations in OpenAlex.

  1. Risk prediction for lung cancer screening: a systematic review and meta-regression.European respiratory review : an official journal of the European Respiratory Society · 2026
    Pooled it
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  18. [CT radiomicsZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
    Article
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37 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Michael K GouldDepartment of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California.
Brian Z HuangDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California.
Martin C TammemagiDepartment of Health Sciences, Brock University, St. Catharines, Ontario, Canada; and.
Yaron KinarMedial EarlySign, Newton, Massachusetts.
Ron ShiffMedial EarlySign, Newton, Massachusetts.
Kaiser Permanente · USBrock University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Clinical Decision RulesMachine LearningAgedAged, 80 and overCarcinoma, Non-Small-Cell LungCase-Control StudiesEarly Detection of CancerFemaleHumansLung NeoplasmsMaleMiddle AgedOdds RatioRetrospective StudiesROC CurveSensitivity and Specificityearly detection of cancerlung cancermachine learningnon–small cell lung carcinomascreening

Identifiers

PMID33823116
OpenAlexW3144747894

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.