Evidence map›Paper›PMID 41035866›Full record

ReviewFrontiers in medicine2025

Sickle cell disease: suspect, check, diagnose-practical tips for non-SCD experts to suspect and diagnose SCD in low-prevalence European settings.

Giovanni Palazzi, Silvia Benemei, Cristiano Gallucci, Francesco Arcioni, Silverio Perrotta

Abstract readReview
In one paragraph

Review in Frontiers in 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.

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

5 authors.

Giovanni PalazziU.O. Oncoematologia Pediatrica, Azienda Ospedaliero-Universitaria di Modena, Modena, Italy.
Silvia BenemeiMedical Affairs, Pfizer, Rome, Italy.
Cristiano GallucciMedical Affairs, Pfizer, Rome, Italy.
Francesco ArcioniPediatric Oncology-Hematology, Azienda Ospedaliera di Perugia, Perugia, Italy.
Silverio PerrottaDipartimento della Donna, del Bambino e di Chirurgia generale e specialistica, Università degli Studi della Campania "Luigi Vanvitelli", Napoli, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sickle cell disease (SCD) is the most common monogenic disorder, including a group of autosomal recessive hemoglobinopathies characterized by hemoglobin polymerization and sickling of red blood cells when low oxygen concentrations are present. SCD has a growing public health significance, affecting nearly 8 million people globally, with a high prevalence observed in Sub-Saharan Africa and Mediterranean countries. Improved understanding of SCD is essential, particularly given recent migratory flows that have contributed to an increase in the number of affected individuals in Europe and Italy. An early diagnosis is crucial to start the appropriate therapy to ensure the patients with the best outcome and improved quality of life, but clinical signs of SCD are often not easily recognized as symptoms are nonspecific and difficult to frame within the context of a congenital hemolytic disease. Given the availability of simple and multiple diagnostic tools, a simplified approach based on red-flags can facilitate the diagnostic suspicion in clinical practice to promptly identify individuals to be referred to specialized centers. The present narrative review aims to discuss the main clinical features, diagnostic tools of SCD, and provide practical illness scripts to facilitate the approach of non SCD-expert healthcare professionals to its diagnosis. Patient's history, including ethnicity, region of origin, familial cases of SCD and other congenital or unexplained anemias, previous clinical manifestations, remain fundamental in guiding diagnostic suspicion of SCD, together with a few crucial lab parameters. The implementation of screening projects is essential to ensure early diagnosis and rapid access to care for affected individuals.

Indexed as

clinical scriptdiagnosisdiagnostic toolsillness scriptmedical historysickle cell disease

Identifiers

PMID41035866
PMCPMC12479331

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