Evidence map›Paper›PMID 41907531›Full record

ArticleFrontiers in physiology2026

Comparative analysis of

Thomas Alexander, Michael J Falvo, Daniel P Wilhite, John J Osterholzer, Bradley W Richmond, Steven J Cassady, Daniel J Schneider, Silpa Krefft, Danielle R Glick, Anays M Sotolongo and 2 more

Abstract read
In one paragraph

Article in Frontiers in physiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Thomas AlexanderAirborne Hazards and Burn Pits Center of Excellence, VA New Jersey Health Care System, East Orange, NJ, United States.
Michael J FalvoAirborne Hazards and Burn Pits Center of Excellence, VA New Jersey Health Care System, East Orange, NJ, United States.
Daniel P WilhiteAirborne Hazards and Burn Pits Center of Excellence, VA New Jersey Health Care System, East Orange, NJ, United States.
John J OsterholzerResearch Service and Pulmonary Section Medical Service, Veterans Affairs Ann Arbor Health System, Ann Arbor, MI, United States.
Bradley W RichmondMedical Service, VA Tennessee Valley Healthcare System-Nashville, Nashville, TN, United States.
Steven J CassadyDepartment of Medicine, VA Maryland Healthcare System, Baltimore Veterans Affairs Medical Center, Baltimore, MD, United States.
Daniel J SchneiderResearch Service and Pulmonary Section Medical Service, Veterans Affairs Ann Arbor Health System, Ann Arbor, MI, United States.
Silpa KrefftNational Jewish Health; Medical Service, VA Eastern Colorado Health Care System, Aurora, CO, United States.
Danielle R GlickDepartment of Medicine, VA Maryland Healthcare System, Baltimore Veterans Affairs Medical Center, Baltimore, MD, United States.
Anays M SotolongoAirborne Hazards and Burn Pits Center of Excellence, VA New Jersey Health Care System, East Orange, NJ, United States.
Stella E HinesDepartment of Medicine, VA Maryland Healthcare System, Baltimore Veterans Affairs Medical Center, Baltimore, MD, United States.
Mehrdad ArjomandiMedical Service, San Francisco VA Health Care System; Department of Medicine, University of California San Francisco, San Francisco, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiopulmonary exercise tests (CPET) use clinical-algorithms for interpretation by classifying exercise capacity based on a fixed threshold (e.g., oxygen consumption percent-predicted ≥80% [ Methods: We retrospectively reviewed CPET records from U.S. Veterans undergoing evaluation for post-deployment concerns and calculated Results: Significant variability was noted in Interpretation: Classification of exercise capacity varies considerably as a function of prediction equations, and this variation appears most influenced by anthropometric factors. Clinicians should be aware of this variability and consider alternatives to relying on a single prediction equation approach, such as, utilizing the developed app to visualize and calculate a range of

Indexed as

application (app)cardiopulmonary exercise testingexercise capacityprediction equationsveterans health

Identifiers

PMID41907531
PMCPMC13017338

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.