Evidence map›Paper›PMID 39103182›Full record

ArticleBritish journal of haematology2024

Telomere length and clonal chromosomal alterations in peripheral blood of patients with severe aplastic anaemia.

Joshua D Strauss, Derek W Brown, Weiyin Zhou, Casey Dagnall, Jian-Min Yuan, Annie Im, Sharon A Savage, Youjin Wang, Maryam Rafati, Stephen R Spellman and 1 more

Abstract read
In one paragraph

Article in British journal of haematology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Current view on the etiopathogenesis of aplastic anemia.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2025
    Review
  6. Observational
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

11 authors.

Joshua D StraussDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0002-2724-0851
Derek W BrownDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0001-8393-1713
Weiyin ZhouDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0002-0467-3064
Casey DagnallDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0001-7334-4718
Jian-Min YuanDepartment of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-7664-7084
Annie ImDivision of Hematology/Oncology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-0973-7100
Sharon A SavageDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0001-6006-0740
Youjin WangDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0001-5841-4183
Maryam RafatiDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0001-7118-3412
Stephen R SpellmanCenter for International Blood and Marrow Transplant Research, NMDP, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0002-7271-8252
Shahinaz M GadallaDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0002-3255-8143

Funding

Data Resource for Analyzing Blood &Marrow TransplantsU24CA076518 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI Amy M Moskop, Bronwen Shaw · 1998 to 2026
$105.2M
HRSA HHS HHSH250201700006CNational Marrow Donor ProgramNCI NIH HHS 75N910D00024NCI NIH HHS U24 CA076518NCI NIH HHS U24CA076518Office of Naval Research N00014-21-1-2954Office of Naval Research N00014-23-1-2057
6 · The paper itself

Abstract

Severe aplastic anaemia (SAA) is a rare and life-threatening bone marrow failure disorder. We used data from the transplant outcomes in aplastic anaemia study to characterize mosaic chromosomal alterations (mCAs) in the peripheral blood of 738 patients with acquired SAA and evaluate their associations with telomere length (TL) and survival post-haematopoietic cell transplant (HCT). The median age at HCT was 20.4 years (range = 0.2-77.4). Patients with SAA had shorter TL than expected for their age (median TL percentile for age: 35.7th; range <1-99.99). mCAs were detected in 211 patients (28.6%), with chr6p copy-neutral loss of heterozygosity (6p-CNLOH) in 15.9% and chr7 loss in 3.0% of the patients; chrX loss was detected in 4.1% of female patients. Negative correlations between mCA cell fraction and measured TL (r = -0.14, p = 0.0002), and possibly genetically predicted TL (r = -0.07, p = 0.06) were noted. The post-HCT 3-year survival probability was low in patients with chr7 loss (39% vs. 72% in patients with chr6-CNLOH, 60% in patients with other mCAs and 70% in patients with no mCAs; p-log rank = 0.001). In multivariable analysis, short TL (p = 0.01), but not chr7 loss (p = 0.29), was associated with worse post-HCT survival. TL may guide clinical decisions in patients with SAA.

Indexed as

Anemia, AplasticHematopoietic Stem Cell TransplantationAdolescentAdultAgedChildChild, PreschoolChromosome AberrationsFemaleHumansInfantMaleMiddle AgedTelomereTelomere HomeostasisYoung Adultchromosomal alterationsclonal escapeloss of heterozygositysevere aplastic anaemiatelomere length

Identifiers

PMID39103182
PMCPMC11499016

What OpenQuestion holds

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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 OpenQuestion graph.