Evidence map›Paper›PMID 41703731›Full record

ArticleFuture oncology (London, England)2026

Validation of a blood-based autoantibody test to assess lung cancer risk in 4-30 mm pulmonary nodules: a retrospective pooled analysis of four cohort studies.

Trevor J Pitcher, Kathryn J Long, Michael N Kammer, Sandra Schuldheisz, Bharat Bajantri, Tammy Gleeson, Dragos Zanchi, Sandeep Bansal, Luke Yuhico, Laura J Peek and 3 more

Abstract readValidation Study
In one paragraph

Article in Future oncology (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Trevor J PitcherClinical Development, Biodesix Inc., Louisville, CO, USA.
Kathryn J LongPulmonary Medicine, Cleveland Clinic, Cleveland, OH, USA.
Michael N KammerInformatique, Institut de Recherche en Informatique de Toulouse, Université Toulouse Capitole, Toulouse, France.
Sandra SchuldheiszThe Lung and Sleep Disorder Institute, Somerset, KY, USA.
Bharat BajantriParkview Research Center, Ft Wayne, IN, USA.
Tammy GleesonSouthcoast Health Thoracic Surgery, Fairhaven, MA, USA.
Dragos ZanchiPulmonary & Sleep of Tampa Bay, Tampa, FL, USA.
Sandeep BansalPulmonary, Critical Care Medicine, Penn Highlands Healthcare, Dubois, PA, USA.
Luke YuhicoWhite-Wilson Medical Center, Fort Walton, FL, USA.
Laura J PeekDevelopment, Biodesix Inc., Louisville, CO, USA.
James R JettBiodesix Inc., Louisville, CO, USA.
Viswam S NairThe Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Gerard A SilvestriDepartment of Medicine, Medical University of South Carolina, Charleston, SC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo validate a blood-based autoantibody test (AAT) as a high specificity, rule-in biomarker for 4-30 mm indeterminate pulmonary nodules (IPN) across malignancy risk.

methodsRetrospective pooled analysis of four cohorts including adults with a 4-30 mm IPN, AAT result, and benign or malignant diagnosis. AAT results were classified as Moderate Level (all patients with elevated autoantibodies), High Level (stricter subset within Moderate Level), or No Significant Level of Autoantibodies Detected (NSLAD). Post-test probability of cancer (pCA) was calculated by applying AAT likelihood ratios to pretest pCA. Performance was assessed overall, by nodule size, and risk strata.

resultsAmong 1164 patients (35% cancer prevalence), Moderate Level results showed sensitivity 16%, specificity 91%, and PPV 50%. A stricter subset of positives at the High Level, specificity 96%, and PPV 57%, with sensitivity 9%. When post-test pCA exceeded 65%, specificity was 97% and PPV 69%, while sensitivity was 12%. Performance was consistent across cohorts, nodule sizes, and risk strata, indicating size- and risk-independent discrimination. ~10% of intermediate-risk cancers (pretest 5-65%) were reclassified above the 65% threshold, creating a group with enriched malignancy risk.

conclusionsAAT provides size- and risk-independent, high-specificity rule-in performance, identifying subsets of patients whose malignancy risk may justify expedited evaluation.

Indexed as

AutoantibodiesBiomarkers, TumorLung NeoplasmsMultiple Pulmonary NodulesSolitary Pulmonary NoduleAdultAgedFemaleHumansMaleMiddle AgedRetrospective StudiesSensitivity and SpecificityAutoantibodiesBiomarkers, TumorAutoantibodyblood-based biomarkerlung cancerpulmonary nodulerisk reclassification

Identifiers

PMID41703731
PMCPMC12977245

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Registered trials

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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.