Evidence map›Paper›PMID 28760085›Full record

SynthesisThe Journal of international medical research2018

The impact of RAGE inhibition in animal models of bacterial sepsis: a systematic review and meta-analysis.

Xin Zhao, Yan-Nian Liao, Qian Huang

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The Journal of international medical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Identification of Nine mRNA Signatures for Sepsis Using Random Forest.Computational and mathematical methods in medicine · 2022
    Article
  6. Article
  7. Article
  8. Review
  9. 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

3 authors at 1 institution in 1 country.

Xin ZhaoJinling Hospital, Medical School of Nanjing University, Research Institute of General Surgery, East Zhongshan Road, Xuanwu District, Nanjing, China.
Yan-Nian LiaoJinling Hospital, Medical School of Nanjing University, Research Institute of General Surgery, East Zhongshan Road, Xuanwu District, Nanjing, China.
Qian HuangJinling Hospital, Medical School of Nanjing University, Research Institute of General Surgery, East Zhongshan Road, Xuanwu District, Nanjing, China.
Nanjing General Hospital of Nanjing Military Command · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective To evaluate the impact of inhibition of the receptor for advanced glycation end products (RAGE) on the outcome of bacterial sepsis in animal models. Methods Relevant publications were identified by systematic searches of PubMed, ISI Web of Science and Elsevier-Scopus databases. Results A total of Eleven studies with moderate quality were selected for analysis. A meta-analysis of survival rates revealed a significant advantage of RAGE inhibition in comparison with controls (HR 0.67, 95% CI 0.52-0.86). This effect was most pronounced in polymicrobial infection (HR 0.28, 95% CI 0.14-0.55), followed by Gram positive (G

Indexed as

Host-Pathogen InteractionsAnimalsAnti-Bacterial AgentsCytokinesDisease Models, AnimalFemaleGene Expression RegulationGram-Negative Bacterial InfectionsGram-Positive Bacterial InfectionsHumansMiceMice, KnockoutReceptor for Advanced Glycation End ProductsSepsisAger protein, mouseAnti-Bacterial AgentsCytokinesReceptor for Advanced Glycation End Productsmeta-analysisReceptor for advanced glycation end productssepsissystematic review

Identifiers

PMID28760085
PMCPMC6011309
OpenAlexW2742016678

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.