Evidence map›Paper›PMID 24949464›Full record

ReviewBioMed research international2014

Current and emerging biomarkers of cell death in human disease.

Kongning Li, Deng Wu, Xi Chen, Ting Zhang, Lu Zhang, Ying Yi, Zhengqiang Miao, Nana Jin, Xiaoman Bi, Hongwei Wang and 2 more

Abstract readReview
In one paragraph

Review in BioMed research international, 2014. 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
–field-weighted citation impact
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.

  1. Pooled it
  2. Review
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  4. Review
  5. Review
  6. Article
  7. 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

12 authors.

Kongning LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Deng WuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Xi ChenCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Ting ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Lu ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Ying YiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Zhengqiang MiaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Nana JinCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Xiaoman BiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Hongwei WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Jianzhen XuCollege of Bioengineering, Henan University of Technology, Zhengzhou 450001, China.ORCID 0000-0002-0697-9075
Dong WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell death is a critical biological process, serving many important functions within multicellular organisms. Aberrations in cell death can contribute to the pathology of human diseases. Significant progress made in the research area enormously speeds up our understanding of the biochemical and molecular mechanisms of cell death. According to the distinct morphological and biochemical characteristics, cell death can be triggered by extrinsic or intrinsic apoptosis, regulated necrosis, autophagic cell death, and mitotic catastrophe. Nevertheless, the realization that all of these efforts seek to pursue an effective treatment and cure for the disease has spurred a significant interest in the development of promising biomarkers of cell death to early diagnose disease and accurately predict disease progression and outcome. In this review, we summarize recent knowledge about cell death, survey current and emerging biomarkers of cell death, and discuss the relationship with human diseases.

Indexed as

BiomarkersApoptosisAutophagyHumansMitosisNecrosisBiomarkers

Identifiers

PMID24949464
PMCPMC4052120

What OpenQuestion holds

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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.