Evidence map›Paper›PMID 33520721›Full record

ArticleFrontiers in oncology2020

Integration Analysis of

Ying Fang, Juan Guo, Dong Wu, Ling-Yun Wu, Lu-Xi Song, Zheng Zhang, You-Shan Zhao, Chun-Kang Chang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2020. 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
0.9field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
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

8 authors at 2 institutions in 1 country.

Ying FangDepartment of Hematology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Juan GuoDepartment of Hematology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Dong WuDepartment of Hematology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Ling-Yun WuDepartment of Hematology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Lu-Xi SongDepartment of Hematology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Zheng ZhangDepartment of Hematology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
You-Shan ZhaoDepartment of Hematology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Chun-Kang ChangDepartment of Hematology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Shanghai Sixth People's Hospital · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the improvements in prognostication of the revised International Prognostic Scoring System (IPSS-R) in myelodysplastic syndrome (MDS), there remain a portion of patients with lower risk (low/intermediate risk, LR) but poor prognostics. This study aimed to evaluate the relative contribution of mutational status when added to the IPSS-R, for estimating overall survival (OS) and progression-free survival (PFS) in patients with LR-MDS. We retrospectively analyzed clinical and laboratory variables of 328 patients diagnosed with MDS according to the FAB criteria. Twenty-nine-gene NGS assay was applied to bone marrow samples obtained at diagnosis. 233 (71.04%) patients were classified as LR-MDS. Univariate analysis showed association between inferior outcome (OS and PFS) and presence of

Indexed as

bone marrow blastlower-risk myelodysplastic syndromenext-generation sequencingrevised International Prognostic Scoring Systemrisk factor

Identifiers

PMID33520721
PMCPMC7839382
OpenAlexW3119521977

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.