Evidence map›Paper›PMID 28781417›Full record

ArticleDisease markers2017

Plasma IL-37 Elevated in Patients with Chronic Heart Failure and Predicted Major Adverse Cardiac Events: A 1-Year Follow-Up Study.

Xiling Shou, Jing Lin, Cui Xie, Yi Wang, Chaofeng Sun

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 28% 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, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. IL-37-a putative therapeutic agent in cardiovascular diseases.QJM : monthly journal of the Association of Physicians · 2022
    Review
  4. Article
  5. Review
  6. Article
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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 at 2 institutions in 1 country.

Xiling ShouDepartment of Cardiology, The First Affiliated Hospital Medical College of Xi'an Jiaotong University, Xi'an 710061, China.
Jing LinDepartment of Cardiology, Shaanxi Province People's Hospital and The Third Affiliated Hospital Medical College of Xi'an Jiaotong University, Xi'an 710068, China.
Cui XieDepartment of Cardiology, Shaanxi Province People's Hospital and The Third Affiliated Hospital Medical College of Xi'an Jiaotong University, Xi'an 710068, China.
Yi WangDepartment of Cardiology, Shaanxi Province People's Hospital and The Third Affiliated Hospital Medical College of Xi'an Jiaotong University, Xi'an 710068, China.
Chaofeng SunDepartment of Cardiology, The First Affiliated Hospital Medical College of Xi'an Jiaotong University, Xi'an 710061, China.ORCID 0000-0001-7775-0852
Shaanxi Provincial People's Hospital · CNFirst Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A great number of basic and clinical studies have demonstrated that inflammatory cytokines play an important role in the development and progression of chronic heart failure (CHF). However, there is limited information about the role of novel cytokine interleukin-37 (IL-37) in heart failure. We measured plasma IL-37 levels by enzyme-linked immunosorbent assay (ELISA) in 158 patients with chronic heart failure and 30 control subjects. Our results showed that plasma IL-37 levels were significantly elevated in patients with CHF compared with healthy controls (143.73 ± 26.83 pg/ml versus 45.2 ± 11.56 pg/ml,

Indexed as

AgedBiomarkersCase-Control StudiesFemaleHeart FailureHumansInterleukin-1MaleMiddle AgedVentricular Function, LeftBiomarkersIL37 protein, humanInterleukin-1

Identifiers

PMID28781417
PMCPMC5525098
OpenAlexW2734994887

What OpenQuestion holds

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LicenceCC BY
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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.