Evidence map›Paper›PMID 41333975›Full record

ArticlePractical laboratory medicine2025

The impact of pathological fluctuations versus biological variation on the interpretation of laboratory values.

Ariel Mundo Ortiz, Jean-Philippe Emond, Vincent Weng-Jy Cheung, Sahar Saeed, Philippe Desmarais, François Larivière, Pierre-Olivier Hétu, Robert Goulden, Quoc Dinh Nguyen

Abstract read
In one paragraph

Article in Practical laboratory medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Ariel Mundo OrtizCentre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, H2X 0A9, Canada.
Jean-Philippe EmondCentre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, H2X 0A9, Canada.
Vincent Weng-Jy CheungCentre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, H2X 0A9, Canada.
Sahar SaeedDepartment of Public Health Sciences, Queen's University, Kingston, K7L 3N6, Canada.
Philippe DesmaraisCentre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, H2X 0A9, Canada.
François LarivièreDepartment of Medicine, Université de Montréal, Montreal, H3T 1J4, Canada.
Pierre-Olivier HétuCentre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, H2X 0A9, Canada.
Robert GouldenMcGill University Health Centre, McGill University, Montreal, H4A 0B1, Canada.
Quoc Dinh NguyenCentre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, H2X 0A9, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The current criterion used to determine whether the reference interval (RI) can be used for interpretation is based on the index of individuality (II), estimated using biological variation (BV). We hypothesized that pathological variation (PV), the shift between healthy and unhealthy states, varies across biomarkers and may be considered for interpretation with BV. We explored how jointly considering PV and BV impacts the clinical interpretation (diagnostic sensitivity and specificity) of RIs. Methods: We propose the index of pathology (IP), a ratio of within-to between-subject coefficients of variation that jointly considers PV and BV. Using a large EHR database from a tertiary care center, we obtained IP estimates for 19 laboratory tests. As a means of comparison, the II was obtained from the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) BV database. PV impact was analyzed using the absolute difference between IP and II (Δ Results: 798,800 observations from 17,082 adult patients were analyzed. For most biomarkers, the IP (mean = 1.99, range = 0.55-8.03) differed from the II (mean = 0.54, range = 0.27-0.86). Lowest IPs were for creatinine (IP = 0.55, Δ Conclusion: Differences between variational estimates that only account for healthy states (II-BV) and those that consider healthy and unhealthy states (IP-BV + PV) vary widely among biomarkers, highlighting the differential impact of PV on their interpretation. For biomarkers where IP is high, the RI may be useful to identify unhealthy individuals.

Indexed as

Biological variationIndex of individualityLaboratory tests

Identifiers

PMID41333975
PMCPMC12666589

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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.