Evidence map›Paper›PMID 42488258›Full record

ArticleCureus2026

Laboratory Test Overuse and Compliance With Minimum Retesting Intervals in a Portuguese Healthcare Network.

João A Pinto, Ana Dourado

Abstract read
In one paragraph

Article in Cureus, 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

2 authors.

João A PintoClinical Pathology Department, Unidade Local de Saúde do Nordeste, Bragança, PRT.
Ana DouradoClinical Pathology Department, Unidade Local de Saúde do Nordeste, Bragança, PRT.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Laboratory test overuse is a well-recognized challenge in modern healthcare, contributing to unnecessary costs, inefficient resource utilization, and potential patient harm. Inappropriate repeat testing, particularly outside recommended minimum retesting intervals (MRIs), represents a measurable target and actionable strategy to improve laboratory demand management. This study evaluated MRI compliance across multiple clinical settings and quantified the potential impact of MRI-based hard-stop restrictions. Methodology A retrospective observational study was conducted at a regional healthcare network in Northeast Portugal, including three hospitals and 14 primary care centers. All laboratory requests for 77 biomarkers performed between January 2023 and December 2024 were analyzed. Repeat tests were classified as appropriate or inappropriate based on established MRI recommendations. Patterns were compared across primary care, hospital outpatient, and inpatient/emergency settings. Statistical comparisons were performed using chi-square and z-tests for proportions. Potential cost savings were estimated based on reagent costs. Results Among 3,012,396 tests, 21.4% were performed outside recommended MRI thresholds. Inappropriateness rates were significantly different across care settings (p < 0.001): 6.7% in primary care, 15.4% in hospital outpatient care, and 31.4% in hospital inpatient care. Overutilization was particularly pronounced for frequently requested biomarkers, as 10 of the 11 most frequently prescribed biomarkers showed overall inappropriateness rates ranging from 24.4% to 32.5%. The simulated implementation of MRI-based hard-stop rules was projected to reduce laboratory expenditure by 14.2% (€119,281.93 annually). Notably, 38.5% of the estimated savings were attributable to B-type natriuretic peptide alone. Conclusions Substantial non-compliance with MRI recommendations was identified across all levels of care, particularly in the hospital inpatient setting. These findings highlight the need for targeted laboratory demand management strategies, especially in high-intensity clinical environments. MRI-based interventions, including electronic decision-support tools such as hard-stop policies, may represent effective and sustainable approaches to improve test appropriateness, reduce healthcare costs, and minimize patient harm associated with unnecessary diagnostic cascades.

Indexed as

clinical decision supportdiagnostic stewardshiplaboratory demand managementlaboratory test overuseminimum retesting intervalstest appropriateness

Identifiers

PMID42488258
PMCPMC13390008

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Registered trials

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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.