Evidence map›Paper›PMID 42548334›Full record

ArticleCHEST pulmonary2025

Improved Risk Stratification Prior to Major Pulmonary Resection by Combining Peak Oxygen Uptake and Ventilatory Efficiency in a 9-Field Matrix.

Karolina Kristenson, Johan Hylander, Miklós Boros, Éva Tamás, Gabriel Högström, Kristofer Hedman

Abstract read
In one paragraph

Article in CHEST pulmonary, 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. 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

6 authors.

Karolina KristensonDepartment of Cardiothoracic and Vascular Surgery in Linköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Johan HylanderDepartment of Anesthesiology and Intensive Care in Linköping, and Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Miklós BorosDepartment of Cardiothoracic and Vascular Surgery in Linköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Éva TamásDepartment of Cardiothoracic and Vascular Surgery in Linköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Gabriel HögströmDepartment of Pulmonology in Linköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Kristofer HedmanDepartment of Clinical Physiology, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiopulmonary exercise testing (CPET) has a pivotal role in preoperative evaluation of patients before lung cancer surgery. As surgical and perioperative practice and functional diagnostics continuously evolve, it may be time to reevaluate and refine the use of CPET in this setting. Research Question: Can risk assessment with CPET before lung cancer surgery be improved by combining 2 established CPET variables (percent predicted peak oxygen uptake [Vo Study Design and Methods: Single-center, retrospective analysis of 208 patients with lung cancer who underwent preoperative CPET in 2008 to 2020. The main outcome was any major pulmonary complication (MPC) or death within 30 days of surgery. We combined previously suggested threshold values of percent predicted Vo Results: Overall, 29 patients (14%) suffered an MPC and 3 died. The frequency of complications differed between groups based on the 9-field matrix in patients who underwent lobectomy or pulmectomy ( Interpretation: The proposed 9-field matrix for risk assessment was able to demonstrate a synergistic effect between

Indexed as

CPETlobectomypulmectomysurgery

Identifiers

PMID42548334
PMCPMC13418083

What OpenQuestion holds

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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.