Evidence map›Paper›PMID 39691264›Full record

ArticleEJHaem2024

Genotype-phenotype associations in individuals with Diamond Blackfan anaemia.

D Matthew Gianferante, Kyra J W Mendez, Sarah Cole, Shahinaz M Gadalla, Blanche P Alter, Sharon A Savage, Neelam Giri

Abstract read
In one paragraph

Article in EJHaem, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

D Matthew GianferanteClinical Genetics Branch, Division of Cancer Epidemiology and Genetics National Cancer Institute, NIH, Rockville Bethesda Maryland USA.ORCID https://orcid.org/0000-0003-4126-2093
Kyra J W MendezClinical Genetics Branch, Division of Cancer Epidemiology and Genetics National Cancer Institute, NIH, Rockville Bethesda Maryland USA.
Sarah ColeClinical Genetics Branch, Division of Cancer Epidemiology and Genetics National Cancer Institute, NIH, Rockville Bethesda Maryland USA.
Shahinaz M GadallaClinical Genetics Branch, Division of Cancer Epidemiology and Genetics National Cancer Institute, NIH, Rockville Bethesda Maryland USA.
Blanche P AlterClinical Genetics Branch, Division of Cancer Epidemiology and Genetics National Cancer Institute, NIH, Rockville Bethesda Maryland USA.
Sharon A SavageClinical Genetics Branch, Division of Cancer Epidemiology and Genetics National Cancer Institute, NIH, Rockville Bethesda Maryland USA.
Neelam GiriClinical Genetics Branch, Division of Cancer Epidemiology and Genetics National Cancer Institute, NIH, Rockville Bethesda Maryland USA.ORCID https://orcid.org/0000-0001-7353-1863

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Diamond Blackfan anaemia (DBA) is a rare disorder characterized by failure of red blood cell production, congenital abnormalities and cancer predisposition, primarily caused by pathogenic germline variants in genes encoding ribosomal proteins. Methods: We conducted a genotype-phenotype and outcome study of 121 patients with DBA spanning the 20-year history of the National Cancer Institute's Inherited Bone Marrow Failure Syndromes study. Patient phenotypes were compared by large versus small ribosomal protein genes, across genes with >5 cases ( Results: A pathogenic germline variant was identified in 71% of patients ( Conclusion: This detailed genotype-phenotype study of DBA improves our understanding of the role of germline genetics in the clinical manifestations that may help guide the management of people with DBA.

Indexed as

anaemiaDiamond Blackfan anaemiagenotypephenotyperibosomal protein

Identifiers

PMID39691264
PMCPMC11647742

What OpenQuestion holds

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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.