Evidence map›Paper›PMID 34771553›Full record

ReviewCancers2021

TP53 in Myelodysplastic Syndromes.

Yan Jiang, Su-Jun Gao, Benoit Soubise, Nathalie Douet-Guilbert, Zi-Ling Liu, Marie-Bérengère Troadec

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% of its field
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Guideline
  2. Review
  3. Humanized mouse models in MDS.Cell death & disease · 2025
    Review
  4. Annals of laboratory medicine · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. 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

6 authors at 2 institutions in 2 countries.

Yan JiangDepartment of Hematology, The First Hospital of Jilin University, Changchun 130021, China.ORCID 0000-0002-5005-0642
Su-Jun GaoDepartment of Hematology, The First Hospital of Jilin University, Changchun 130021, China.
Benoit SoubiseUniv Brest, Inserm, EFS, UMR 1078, GGB, F-29200 Brest, France.
Nathalie Douet-GuilbertUniv Brest, Inserm, EFS, UMR 1078, GGB, F-29200 Brest, France.ORCID 0000-0003-2197-5213
Zi-Ling LiuCancer Center, The First Hospital of Jilin University, Changchun 130021, China.
Marie-Bérengère TroadecUniv Brest, Inserm, EFS, UMR 1078, GGB, F-29200 Brest, France.ORCID 0000-0003-2668-9670
Inserm · FRJilin University · CN

Funding

Association Gaétan Saleün xDepartment of Science and Technology of Jilin Province No. 3D5205129428, No. 3D515P633428 and No. 3D5190668428First Hospital of Jilin University, Changchun, China xHalte au Cancer xINNOVEO Brest xLigue Régionale contre le cancer comité 22, 29, 56, 41
6 · The paper itself

Abstract

Myelodysplastic syndromes (MDSs) are heterogeneous for their morphology, clinical characteristics, survival of patients, and evolution to acute myeloid leukemia. Different prognostic scoring systems including the International Prognostic Scoring System (IPSS), the Revised IPSS, the WHO Typed Prognostic Scoring System, and the Lower-Risk Prognostic Scoring System have been introduced for categorizing the highly variable clinical outcomes. However, not considered by current MDS prognosis classification systems, gene variants have been identified for their contribution to the clinical heterogeneity of the disease and their impact on the prognosis. Notably,

Indexed as

biallelicMDM2monoallelicmutationmyelodysplastic syndromestarget therapyTP53

Identifiers

PMID34771553
PMCPMC8582368
OpenAlexW3208151663

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.