Evidence map›Paper›PMID 41347995›Full record

ReviewHematology. American Society of Hematology. Education Program2025

Molecular surprises in evaluations of red cell disorders.

Yasmin Elgammal, Wenying Zhang, Theodosia A Kalfa

Abstract readReview
In one paragraph

Review in Hematology. American Society of Hematology. Education Program, 2025. 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

3 authors.

Yasmin ElgammalDivision of Hematology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.
Wenying ZhangDivision of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.
Theodosia A KalfaDivision of Hematology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.

Funding

Xenotransplant and Genome Editing CoreU54DK126108 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI Daniel Starczynowski, YI ZHENG · 2021 to 2026
$5.0M
The Role of Erythroblastic Islands in Anemia of InflammationR01HL152099 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI BLANC, LIONEL, KALFA, THEODOSIA ANASTASIOS · 2020 to 2023
$2.5M
NHLBI NIH HHS R01 HL152099NIDDK NIH HHS U54 DK126108
6 · The paper itself

Abstract

Red cell disorders may present with overlapping clinical presentation and laboratory findings; in addition, complete phenotypic characterization of the patients' red cells is more challenging in the most severe cases, which are typically transfusion-dependent. The increasing availability of next-generation sequencing over the past 2 decades, initially with focused gene panels for certain disease groups, optimized to include the known coding and noncoding pathogenic variants for those diseases, has improved the accuracy and timeliness of diagnosis. The ongoing expansion to whole-exome and genome sequencing has been revealing unexpected, rare, overlooked, or previously unknown genetic disorders and expands our knowledge on the pathophysiology of known and novel human diseases. The vast information gained by genetic sequencing should still be checked against the phenotype to confirm agreement. A positive result does not always guarantee that the cause of the patient's symptoms has been identified; phenotype-genotype correlation is critical. In our era of targeted treatments and progress in gene therapy, utilization of genetic workup to improve the timing and precision of diagnosis is crucial to ensure that patients receive effective management, improving their outcome.

Indexed as

Hematologic DiseasesHigh-Throughput Nucleotide SequencingHumansPhenotype

Identifiers

PMID41347995
PMCPMC12891333

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.