Evidence map›Paper›PMID 40831991›Full record

ArticleERJ open research2025

Ventilation defect burden predicts lung cancer resection outcomes.

Nisarg Radadia, Eldar Priel, Yonni Friedlander, Norman B Konyer, Chynna Huang, Mobin Jamal, Troy Farncombe, Christopher Marriott, Christian Finley, John Agzarian and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ERJ open research, 2025. 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. Review
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

14 authors.

Nisarg RadadiaDepartment of Medicine, Division of Respirology, McMaster University, Hamilton, ON, Canada.
Eldar PrielFirestone Institute for Respiratory Health, St Joseph's Healthcare Hamilton, Hamilton, ON, Canada.
Yonni FriedlanderImaging Research Centre, St Joseph's Healthcare Hamilton, Hamilton, ON, Canada.
Norman B KonyerImaging Research Centre, St Joseph's Healthcare Hamilton, Hamilton, ON, Canada.
Chynna HuangFirestone Institute for Respiratory Health, St Joseph's Healthcare Hamilton, Hamilton, ON, Canada.
Mobin JamalDepartment of Medicine, Division of Respirology, McMaster University, Hamilton, ON, Canada.
Troy FarncombeDepartment of Nuclear Medicine, St Joseph's Healthcare Hamilton, Hamilton, ON, Canada.
Christopher MarriottDepartment of Nuclear Medicine, St Joseph's Healthcare Hamilton, Hamilton, ON, Canada.
Christian FinleyFirestone Institute for Respiratory Health, St Joseph's Healthcare Hamilton, Hamilton, ON, Canada.
John AgzarianFirestone Institute for Respiratory Health, St Joseph's Healthcare Hamilton, Hamilton, ON, Canada.
Michael D NoseworthyImaging Research Centre, St Joseph's Healthcare Hamilton, Hamilton, ON, Canada.
Parameswaran NairDepartment of Medicine, Division of Respirology, McMaster University, Hamilton, ON, Canada.
Yaron ShargallFirestone Institute for Respiratory Health, St Joseph's Healthcare Hamilton, Hamilton, ON, Canada.
Sarah SvenningsenDepartment of Medicine, Division of Respirology, McMaster University, Hamilton, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Abnormal ventilation prior to lung cancer resection has not been investigated using modern ventilation imaging modalities and may better predict postoperative outcomes than guideline-recommended lung function tests. Our objective was to quantify the burden of ventilation defects observed using Technegas single-photon emission computed tomography (SPECT) and Methods: This was a prospective, 6-week, observational study of adults undergoing lung cancer resection at a single centre. Before lung resection, participants underwent Technegas-SPECT, Results: Abnormal ventilation was observed preoperatively by Technegas-SPECT and Conclusion: Abnormal ventilation is prevalent prior to lung cancer resection and may be a stronger predictor of postoperative complications and length of hospital stay than standard clinical lung function measures.

Identifiers

PMID40831991
PMCPMC12359065

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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.