Evidence map›Paper›PMID 40685162›Full record

ArticleBMJ health & care informatics2025

Navigating data availability challenges in healthcare: assessing the added value of pulmonary function testing to the Care Assessment Need score for mortality risk.

Khalid A Ishani, Anders Westanmo, Amy Gravely, Meredith C McCormack, Arianne K Baldomero

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Article in BMJ health & care informatics, 2025. 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
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0citing papers in PubMed
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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

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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

5 authors.

Khalid A IshaniUniversity of Minnesota Medical School, Minneapolis, Minnesota, USA.
Anders WestanmoDepartment of Pharmacy, Minneapolis VA Health Care System, Minneapolis, Minnesota, USA.
Amy GravelyResearch Department, Minneapolis VA Health Care System, Minneapolis, Minnesota, USA.
Meredith C McCormackPulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
Arianne K BaldomeroPulmonary, Allergy, Critical Care and Sleep Medicine, Minneapolis VA Health Care System, Minneapolis, Minnesota, USA baldo004@umn.edu.ORCID http://orcid.org/0000-0002-8309-0747

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPulmonary function testing (PFT) data, such as forced expiratory volume (FEV

methodsWe conducted a retrospective cohort study using national VA data on PFTs from 2013 to 2018. Using logistic regression adjusted for CAN scores, we assessed the associations between FEV1 percent predicted (%pred) and all-cause mortality at 1 year and 5 years.

resultsWhile the number of PFTs performed has generally increased since 2000, the integration of PFT data into the EHR has declined since 2006. The CAN-adjusted odds of 1-year mortality were 2.94 (95% CI: 2.66 to 3.24) for those with FEV DISCUSSION: Our study shows that FEV

conclusionAmong people with FEV

Indexed as

Electronic Health RecordsMortalityNeeds AssessmentRespiratory Function TestsAgedFemaleForced Expiratory VolumeHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentUnited StatesUnited States Department of Veterans AffairsHealth Information SystemsHospital RecordsMedical InformaticsOutcome Assessment, Health Care

Identifiers

PMID40685162
PMCPMC12278127

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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.