Evidence map›Paper›PMID 36926344›Full record

ArticleFrontiers in immunology2023

Appropriate pre-transplant strategy for patients with myelodysplastic syndromes receiving allogeneic haematopoietic stem cell transplantation after myeloablative conditioning.

Hong Wang, Qingyuan Wang, Jiaqian Qi, Xueqian Li, Tiantian Chu, Huiying Qiu, Chengcheng Fu, Xiaowen Tang, Changgeng Ruan, Depei Wu and 1 more

Open access · goldFull text read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

Hong WangNational Clinical Research Centre for Haematologic Diseases, Jiangsu Institute of Haematology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Qingyuan WangNational Clinical Research Centre for Haematologic Diseases, Jiangsu Institute of Haematology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Jiaqian QiNational Clinical Research Centre for Haematologic Diseases, Jiangsu Institute of Haematology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Xueqian LiNational Clinical Research Centre for Haematologic Diseases, Jiangsu Institute of Haematology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Tiantian ChuNational Clinical Research Centre for Haematologic Diseases, Jiangsu Institute of Haematology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Huiying QiuNational Clinical Research Centre for Haematologic Diseases, Jiangsu Institute of Haematology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Chengcheng FuNational Clinical Research Centre for Haematologic Diseases, Jiangsu Institute of Haematology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Xiaowen TangNational Clinical Research Centre for Haematologic Diseases, Jiangsu Institute of Haematology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Changgeng RuanNational Clinical Research Centre for Haematologic Diseases, Jiangsu Institute of Haematology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Depei WuNational Clinical Research Centre for Haematologic Diseases, Jiangsu Institute of Haematology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Yue HanNational Clinical Research Centre for Haematologic Diseases, Jiangsu Institute of Haematology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Appropriate pre-transplant strategies in patients with myelodysplastic syndromes (MDS) remain challenging. We sought to assess the effect of different pre-transplant therapies and transplantation interval times on patient prognosis. Methods: We retrospectively analysed clinical data for 371 consecutive MDS patients after myeloablative transplantation between 2007 and 2019. Results: The median age of the patients was 38 years (range, 12-64 years). A total of 114 patients (31%) received supportive care (SC), 108 (29%) hypomethylating agents (HMAs), and 149 (40%) chemotherapy-based therapy before transplantation. In patients who received HMA or SC, there was no significant difference in overall survival (OS; P=0.151) or relapse-free survival (RFS; P=0.330), except that HMA-treated patients had a lower rate of non-relapse mortality (5-year NRM: 18% vs. 32%, P=0.035). However, compared with patients who received HMA, those who received chemotherapy-based therapy had a lower 5-year OS rate (56% vs. 69%, P=0.020) and a slightly higher 5-year NRM rate (28% vs. 18%, P=0.067). Compared to the delayed transplant group (transplant interval ≥6 months), the early transplant group (transplant interval <6 months) had a superior 5-year OS (66% vs. 51%, P=0.001) and a lower 5-year cumulative incidence of NRM (22% vs. 36%, P=0.001). Conclusion: The findings of the study indicate that receiving an appropriate pre-transplant strategy (SC/HMA + <6 months) significantly improves OS and decreases NRM in MDS patients after myeloablative transplantation.

Indexed as

Hematopoietic Stem Cell TransplantationMyelodysplastic SyndromesAdolescentAdultChildHumansMiddle AgedPrognosisRetrospective StudiesTransplantation, HomologousYoung Adulthaematopoietic stem cell transplantationmyeloablative conditioningmyelodysplastic syndromepre-transplant strategyprognosis

Identifiers

PMID36926344
PMCPMC10011085
OpenAlexW4323320271

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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.