Evidence map›Paper›PMID 41853786›Full record

ArticleAdvances in laboratory medicine2026

Calculation of reference intervals using an indirect approach from laboratory database.

Victor Martin-Riera, Pablo Gabriel-Medina, Albert Blanco-Grau, Gonzalo Gonzalez-Silva, Yolanda Villena, Andrea Caballero-Garralda, Lydia Peris-Serra, Sarai Garriga Edo, Clara Sanz Gea, Fernando Moreno and 4 more

Abstract read
In one paragraph

Article in Advances in laboratory medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

14 authors.

Victor Martin-RieraClinical Biochemistry Department, Drug Delivery and Therapy Research Group, Vall d'Hebron Research Institute (VHIR), Vall d'Hebron University Hospital, Barcelona, Spain.ORCID https://orcid.org/0000-0002-1051-3614
Pablo Gabriel-MedinaClinical Biochemistry Department, Drug Delivery and Therapy Research Group, Vall d'Hebron Research Institute (VHIR), Vall d'Hebron University Hospital, Barcelona, Spain.ORCID https://orcid.org/0000-0003-3079-6364
Albert Blanco-GrauClinical Biochemistry Department, Drug Delivery and Therapy Research Group, Vall d'Hebron Research Institute (VHIR), Vall d'Hebron University Hospital, Barcelona, Spain.ORCID https://orcid.org/0000-0002-4213-3827
Gonzalo Gonzalez-SilvaClinical Biochemistry Department, Drug Delivery and Therapy Research Group, Vall d'Hebron Research Institute (VHIR), Vall d'Hebron University Hospital, Barcelona, Spain.ORCID https://orcid.org/0000-0001-5196-5003
Yolanda VillenaClinical Biochemistry Department, Drug Delivery and Therapy Research Group, Vall d'Hebron Research Institute (VHIR), Vall d'Hebron University Hospital, Barcelona, Spain.ORCID https://orcid.org/0000-0003-0925-0498
Andrea Caballero-GarraldaClinical Biochemistry Department, Drug Delivery and Therapy Research Group, Vall d'Hebron Research Institute (VHIR), Vall d'Hebron University Hospital, Barcelona, Spain.ORCID https://orcid.org/0000-0003-2891-6347
Lydia Peris-SerraClinical Biochemistry Department, Drug Delivery and Therapy Research Group, Vall d'Hebron Research Institute (VHIR), Vall d'Hebron University Hospital, Barcelona, Spain.ORCID https://orcid.org/0000-0002-8760-8371
Sarai Garriga EdoClinical Biochemistry Department, Drug Delivery and Therapy Research Group, Vall d'Hebron Research Institute (VHIR), Vall d'Hebron University Hospital, Barcelona, Spain.ORCID https://orcid.org/0000-0002-2445-5355
Clara Sanz GeaClinical Biochemistry Department, Drug Delivery and Therapy Research Group, Vall d'Hebron Research Institute (VHIR), Vall d'Hebron University Hospital, Barcelona, Spain.ORCID https://orcid.org/0000-0003-3574-5718
Fernando MorenoClinical Biochemistry Department, Drug Delivery and Therapy Research Group, Vall d'Hebron Research Institute (VHIR), Vall d'Hebron University Hospital, Barcelona, Spain.
Andrea Arias-GarcíaClinical Biochemistry Department, Drug Delivery and Therapy Research Group, Vall d'Hebron Research Institute (VHIR), Vall d'Hebron University Hospital, Barcelona, Spain.ORCID https://orcid.org/0009-0003-9274-0005
Jaume BarallatClinical Biochemistry Department, Drug Delivery and Therapy Research Group, Vall d'Hebron Research Institute (VHIR), Vall d'Hebron University Hospital, Barcelona, Spain.ORCID https://orcid.org/0000-0003-3493-5958
Celia Monteagudo-LopezClinical Biochemistry Department, Drug Delivery and Therapy Research Group, Vall d'Hebron Research Institute (VHIR), Vall d'Hebron University Hospital, Barcelona, Spain.ORCID https://orcid.org/0009-0002-8614-4373
Laura ConesaClinical Biochemistry Department, Drug Delivery and Therapy Research Group, Vall d'Hebron Research Institute (VHIR), Vall d'Hebron University Hospital, Barcelona, Spain.ORCID https://orcid.org/0000-0003-2270-9005

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The establishment of reference intervals (RIs) for biochemical parameters is crucial for the accurate interpretation of laboratory test results and clinical decision-making. This study aims to evaluate the feasibility of determining RIs using an indirect approach, which analyzes routine clinical samples instead of recruiting healthy individuals, thus leveraging large datasets while applying strict statistical criteria to exclude pathological values. Methods: This is a prospective study in which patients fulfilling inclusion criteria were recruited from the routine primary care to achieve a high proportion of healthy individuals. Biochemical magnitudes as creatinine, esterified bilirubin, ferritin, and transferrin were analyzed. A patient exclusion protocol was implemented to minimize results suggestive of pathology but ensuring a sufficient sample size for the calculation of new RIs. The new ones were compared with the RIs used in the laboratory, provided by the manufacturer. Results: The comparison between the newly calculated RIs and the existing laboratory RIs did not reveal statistically significant differences. The indirect approach provided robust RIs while maintaining data quality and a sufficient sample size. Conclusions: The findings support the effectiveness of this indirect approach for RI determination, provided that rigorous data quality standards and adequate sample sizes are maintained. The adoption of these RIs in clinical practice could enhance diagnostic accuracy and optimize healthcare resource utilization.

Indexed as

adult populationindirect approachlaboratory testsreference intervals

Identifiers

PMID41853786
PMCPMC12994705

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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.