Evidence map›Paper›PMID 37452616›Full record

ArticleEuropean journal of haematology2023

Platelet transfusions and predictors of bleeding in patients with myelodysplastic syndromes.

Allison Mo, Erica Wood, Jake Shortt, Erin Hu, Zoe McQuilten

Abstract read
In one paragraph

Article in European journal of haematology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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

5 authors.

Allison MoTransfusion Research Unit, School of Public Health & Preventive Medicine, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-1923-3133
Erica WoodTransfusion Research Unit, School of Public Health & Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Jake ShorttMonash Haematology, Monash Health, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0003-3185-6488
Erin HuPharmacy Department, Monash Health, Melbourne, Victoria, Australia.
Zoe McQuiltenTransfusion Research Unit, School of Public Health & Preventive Medicine, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0001-9698-7185

Funding

Australian NHMRC Emerging Leadership FellowshipsHaematology Society of Australia and New ZealandMonash UniversityNational Blood AuthorityNational Health and Medical Research CouncilNHMRC Leadership Fellowship
6 · The paper itself

Abstract

objectivesThis study aimed to describe the burden of thrombocytopenia, supportive care practices, bleeding complications and predictors of bleeding in MDS patients within a large Australian hospital network, to better understand the use and effectiveness of platelet transfusions in MDS.

methodsA retrospective cohort study of patients aged ≥18 years with MDS, chronic myelomonocytic leukaemia or MDS/myeloproliferative overlap neoplasm admitted from 2016 to 2018 was conducted. Data were obtained from hospital medical records.

resultsOne hundred seventy-nine patients (median age 78 years, 61.5% male) were identified. The median platelet count at first admission was 90 × 10

conclusionThrombocytopenia is common in MDS. Although guidelines recommend otherwise, prophylactic platelet transfusions were commonly used for severe thrombocytopenia. Despite the majority of patients receiving platelet transfusions and/or TXA, 11% developed major bleeding occurring at a wide range of platelet counts.

Indexed as

Myelodysplastic SyndromesThrombocytopeniaTranexamic AcidAdolescentAdultAgedAustraliaFemaleHemorrhageHumansMalePlatelet TransfusionRetrospective StudiesTranexamic Acidhaemorrhagemyelodysplastic syndromesplatelet transfusionthrombocytopenia

Identifiers

PMID37452616
PMCPMC10952506

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Registered trials

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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.