ArticleEuropean journal of pediatrics2026
A clinical triage score for MLPA testing in children with microcytosis suspected of deletional alpha-thalassemia.
Article in European journal of pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Alpha-thalassemia lacks an HbA2-like hematological surrogate to indicate which children with microcytosis warrant molecular testing. We developed and internally validated a Clinical Triage Score to prioritize multiplex ligation-dependent probe amplification (MLPA) referral to detect deletional alpha-thalassemia carriers. In this retrospective single-center study, 187 of 201 children referred for alpha-globin MLPA testing (2020-2025) were analyzed. The endpoint was an alpha-globin deletion detected by MLPA. Pre-specified predictors were entered by forced entry into multivariable logistic regression, with points assigned by Sullivan rescaling. Internal validation used bootstrap optimism correction (B = 1000), and decision curve analysis assessed clinical utility. Alpha-globin deletions were detected in 70 children (37.4%), with α⁰-thalassemia trait predominating (62.9%), and - (α)20.5 was the predominant deletion (45.7%). Family history (adjusted OR 5.68), age-adjusted erythrocytosis (8.96), and normal ferritin (3.55) were independent predictors; erythrocytosis received two points, the others one each (range 0 to 4). The AUROC was 0.814 (95% CI 0.739-0.890). At the Youden-optimal threshold ≥ 2, sensitivity was 87.1% and specificity 53.8%, missing 9 (12.9%); at ≥ 1, sensitivity reached 95.7%. Sensitivity was highest for the 48 clinically significant two-gene deletions (89.6%). Decision curve analysis suggested net benefit over test-none, and over test-all above an 11% threshold.
conclusionThis preliminary, internally validated score may help prioritize MLPA referral in children with microcytosis and performs best for clinically significant two-gene genotypes. Because HBA1/HBA2 sequencing was not routinely performed, a low score does not exclude alpha-thalassemia, particularly non-deletional forms. External prospective validation is required before clinical adoption. WHAT IS KNOWN: • Alpha-thalassemia has no HbA2-like hematological marker, so carrier detection depends on molecular testing. • No validated triage tool exists to prioritize MLPA referral in children with microcytosis. WHAT IS NEW: • A TRIPOD-compliant three-variable score (family history, erythrocytosis, normal ferritin) predicted MLPA-detected deletions (AUROC 0.814), with net benefit over test-none and, above an 11% threshold, over test-all. • The spectrum was α⁰-dominant, and sensitivity was highest (89.6%) for the clinically significant two-gene deletions.
Indexed as
Identifiers
42554757What OpenQuestion holds
Registered trials
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.