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Record W4410050569 · doi:10.1111/ijlh.14489

Paediatric Reference Intervals and Curves for Haemoglobin Estimated Using Direct Methods: A Systematic Review and Meta‐Analysis

2025· review· en· W4410050569 on OpenAlexafffund
Vid Bijelić, Marijana Bijelić, Josh Larock, Michael M. Pham, Franco Momoli, Mira Liebman, Beth K. Potter, Patricia C. Parkin, Jemila S. Hamid

Bibliographic record

VenueInternational Journal of Laboratory Hematology · 2025
Typereview
Languageen
FieldMedicine
TopicClinical Laboratory Practices and Quality Control
Canadian institutionsChildren's Hospital of Eastern OntarioHospital for Sick ChildrenUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of CanadaGovernment of CanadaUniversity of Ottawa
KeywordsMedicineMeta-analysisContext (archaeology)Confidence intervalPopulationMEDLINEDemographyPediatricsInternal medicineEnvironmental healthGeographyBiology

Abstract

fetched live from OpenAlex

ABSTRACT Introduction Haemoglobin is a commonly ordered laboratory test, used to assess both individual and population‐level health. To interpret test results, laboratories provide reference intervals (RIs) with lower (2.5th%) and upper (97.5th%) limits according to age and sex. Reference curves (RCs) treat age as a continuous variable. The objectives were to synthesise evidence on Paediatric haemoglobin RIs/RCs and investigate possible sources of heterogeneity. We placed our findings in the context of the age‐ and sex‐based haemoglobin thresholds to define anaemia, recommended for international use by WHO. Methods We conducted a systematic review of studies publishing Paediatric haemoglobin RIs/RCs (PROSPERO: CRD42023399802). EMBASE, MEDLINE, SCOPUS and The Cochrane electronic libraries were searched from inception to July 31, 2023. Studies involving unhealthy children, lacking males and females RIs/RCs, or limited to cord‐blood RIs/RCs were excluded. Studies adhering to guidelines for RIs development from the Clinical Laboratory Standards Institute (CLSI) and RCs studies reporting confidence intervals (CIs) were included in the meta‐analysis. Lower and upper males and females RI limits were pooled for age groups with heterogeneity I 2 < 75%. All studies meeting eligibility criteria were included in the narrative synthesis. Sources of heterogeneity were analyzed using heatmaps, forest plots and Shiny app. Results Of 9123 studies screened, 177 were retained for full‐text review. We identified 48 eligible studies (63 529 male and 59 969 female participants) from 25 countries (4 continents) published 1938–2023. There was inconsistency in age partitioning and length of age intervals. Meta‐analysis was conducted on 13 studies reporting RIs and 2 studies reporting RCs. Pooled estimates for the 0–3 months age group could not be generated for males or females due to paucity of data. For children aged 3 months or older, both lower and upper RI limits generally increased with age, from approximately 100 to 130 g/L and from approximately 130 to 150 g/L, respectively. For visualisation of our narrative synthesis of all 48 studies, we created a novel web‐based computational tool using Shiny‐app. Sources of heterogeneity included child age, sex, analyser type and country. For many studies, the lower RIs were substantially different from WHO anaemia thresholds. Study limitations include a small sample size for younger age groups, potentially impacting heterogeneity estimates, reliance on CLSI guidelines due to the lack of a suitable quality assessment tool for RIs/RCs and restriction to English‐language studies. Conclusion Evidence synthesis of locally developed Paediatric haemoglobin RIs/RCs revealed substantial heterogeneity, suggesting the need for more rigorously developed estimates that may be used globally along with WHO thresholds to define anaemia. Future research is needed on RIs for the youngest children. Percentile curves should be explored to provide continuous haemoglobin charts.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.693
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0120.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.261
GPT teacher head0.561
Teacher spread0.299 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes2
Has abstractyes

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