Evidence map›Paper›PMID 42213740›Full record

Observational studyPloS one2026

Older age and sex differences in the proportion of vital signs flagged as abnormal.

Jean-Philippe Emond, Vincent Weng-Jy Cheung, Ariel Mundo Ortiz, Robert Goulden, Sahar Saeed, Philippe Desmarais, Michaël Chassé, Christina Wolfson, Quoc Dinh Nguyen

Abstract readObservational Study
In one paragraph

Observational study in PloS one, 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
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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

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

9 authors.

Jean-Philippe EmondCentre de recherche du Centre hospitalier de l'Université de Montréal, Montreal, Quebec, Canada.ORCID https://orcid.org/0009-0009-3312-2366
Vincent Weng-Jy CheungCentre de recherche du Centre hospitalier de l'Université de Montréal, Montreal, Quebec, Canada.
Ariel Mundo OrtizCentre de recherche du Centre hospitalier de l'Université de Montréal, Montreal, Quebec, Canada.ORCID https://orcid.org/0000-0002-6014-4538
Robert GouldenMcGill University Health Centre, McGill University, Montreal, Quebec, Canada.
Sahar SaeedQueen's University, Public Health Sciences, Kingston, Ontario, Canada.
Philippe DesmaraisCentre de recherche du Centre hospitalier de l'Université de Montréal, Montreal, Quebec, Canada.
Michaël ChasséCentre hospitalier de l'Université de Montréal and the Department of Medicine, Faculty of Medicine, School of Public Health, Université de Montréal, Montreal, Quebec, Canada.ORCID https://orcid.org/0000-0001-7075-1924
Christina WolfsonResearch Institute of the McGill University Health Centre and Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada.
Quoc Dinh NguyenCentre de recherche du Centre hospitalier de l'Université de Montréal, Montreal, Quebec, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe variability of vital signs thresholds has not been well described in relation to older age and sex assigned at birth. Significant variations may influence clinical interpretation of vital signs, most notably the thresholds at which investigations or treatments are initiated. Our objective was to compare, in stable health status, the percentage of abnormal values (flagging percentage) of standard vital signs thresholds of adults aged 45 years and older and to determine centile-based thresholds by age and sex.

methodsA retrospective observational study was conducted using data from the Centre for the Integration and Analysis of Medical Data (CITADEL) at the Centre hospitalier de l'Université de Montréal (CHUM), a tertiary care hospital. All inpatients and outpatients, from January 2012 to December 2021, were included. For individuals with multiple visits, a single hospitalization or a single outpatient visit was selected at random for inclusion. To reflect a stable health status, the last vital signs recorded before hospital discharge were selected and in-hospital deaths were excluded. Flagging percentages were identified using a quantile-based approach. Age and sex specific centile-based thresholds were determined by identifying values at the 2.5th and 97.5th centiles. Flagging percentages and centile values for systolic and diastolic blood pressure, heart rate, and temperature were analyzed by age group (45-54, 55-64, 65-74, 75-84, and 85 + years) and sex.

resultsThe sample comprised 123,420 individuals, including 90,813 inpatients. Flagging percentages for the standard threshold of upper systolic blood pressure (140 mmHg) ranged from 13.3 (12.7-13.9) % (45-54y assigned female at birth (AFAB)) to 39.8 (38.6-41.0) % (85y+ AFAB). Flagging percentages for standard thresholds ranged between 0.1 (0.1-0.2) to 1.2 (1.0-1.4) % for upper temperature (37.8°C), lower temperature (35.0°C), and lower systolic blood pressure (90 mmHg). Across subgroups, the 97.5th centile-based adapted thresholds varied between 158 (156-159) - 178 (177-180) mmHg for upper systolic blood pressure and between 37.2 (37.1-37.2) - 37.3 (37.3-37.3) °C for upper temperature.

conclusionsImportant differences in vital signs flagging percentages may affect their comparability by vital sign, age, and sex. Standard thresholds may need to be reassessed using clinical outcomes to factor age and sex differences.

Indexed as

Vital SignsAgedAged, 80 and overAge FactorsBlood PressureFemaleHeart RateHumansMaleMiddle AgedRetrospective StudiesSex CharacteristicsSex Factors

Identifiers

PMID42213740
PMCPMC13221073

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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.