Evidence map›Paper›PMID 34227058›Full record

ArticleInternational journal of hematology2021

Increased serum C-reactive protein is an adverse prognostic factor in low-risk myelodysplastic syndromes.

Yuta Baba, Bungo Saito, Shotaro Shimada, Yohei Sasaki, Shun Fujiwara, Nana Arai, Yukiko Kawaguchi, Nobuyuki Kabasawa, Hiroyuki Tsukamoto, Yui Uto and 4 more

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of hematology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

14 authors at 2 institutions in 1 country.

Yuta BabaDivision of Hematology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-Ku, Tokyo, 142-8666, Japan. y.baba26@med.showa-u.ac.jp.ORCID http://orcid.org/0000-0002-5743-0306
Bungo SaitoDivision of Hematology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-Ku, Tokyo, 142-8666, Japan.
Shotaro ShimadaDivision of Hematology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-Ku, Tokyo, 142-8666, Japan.
Yohei SasakiDivision of Hematology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-Ku, Tokyo, 142-8666, Japan.
Shun FujiwaraDivision of Hematology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-Ku, Tokyo, 142-8666, Japan.
Nana AraiDivision of Hematology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-Ku, Tokyo, 142-8666, Japan.
Yukiko KawaguchiDivision of Hematology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-Ku, Tokyo, 142-8666, Japan.
Nobuyuki KabasawaDivision of Hematology, Department of Medicine, Showa University Fujigaoka Hospital, 1-30, Fujigaoka, Aoba-Ku, Yokohama, 227-8501, Japan.
Hiroyuki TsukamotoDivision of Hematology, Department of Medicine, Showa University Fujigaoka Hospital, 1-30, Fujigaoka, Aoba-Ku, Yokohama, 227-8501, Japan.
Yui UtoDivision of Hematology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-Ku, Tokyo, 142-8666, Japan.
Kouji YanagisawaDivision of Hematology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-Ku, Tokyo, 142-8666, Japan.
Norimichi HattoriDivision of Hematology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-Ku, Tokyo, 142-8666, Japan.
Hiroshi HaradaDivision of Hematology, Department of Medicine, Showa University Fujigaoka Hospital, 1-30, Fujigaoka, Aoba-Ku, Yokohama, 227-8501, Japan.
Tsuyoshi NakamakiDivision of Hematology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-Ku, Tokyo, 142-8666, Japan.
Showa University · JPShowa University Fujigaoka Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammatory cytokines play a role in hematopoiesis and development of myelodysplastic syndromes (MDS). Although increased serum levels of inflammatory cytokines are associated with poor survival in MDS patients, clinical management does not include assessment of inflammation. We investigated the significance of inflammation in MDS using serum C-reactive protein (CRP) levels, an indicator of the degree of systemic inflammation that can be used in routine practice. We hypothesized that serum CRP levels can be used to further classify low-risk MDS. We conducted a retrospective analysis of 90 patients with low-risk MDS, defined by the international prognostic scoring system (IPSS). We examined the prognostic relevance of CRP and known prognostic factors at diagnosis. Increased serum CRP (≥ 0.58 mg/dL) was associated with poor survival (hazard ratio [HR]: 17.63, 95% confidence interval [CI] 5.83-53.28, P < 0.001) both overall and among the 73 patients with low-risk MDS as defined by the revised IPSS (HR: 28.05, 95% CI 6.15-128.04, P < 0.001). Increased CRP might predict poor prognosis and serum CRP levels can indicate clonal hematopoiesis and non-hematological comorbidity in patients with low-risk MDS.

Indexed as

C-Reactive ProteinAdultAgedAged, 80 and overBiomarkersComorbidityFemaleHumansKaplan-Meier EstimateMaleMiddle AgedMyelodysplastic SyndromesPrognosisROC CurveYoung AdultBiomarkersC-Reactive ProteinC-reactive proteinInflammationMyelodysplastic syndromesPrognosis

Identifiers

PMID34227058
OpenAlexW3177918672

What OpenQuestion holds

Textmetadata
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.