Evidence map›Paper›PMID 30159323›Full record

SynthesisBioMed research international2018

Programmed Cell Death-1/Programmed Death-Ligand 1 Blockade Improves Survival of Animals with Sepsis: A Systematic Review and Meta-Analysis.

Qiang Zhang, Zhijiang Qi, Bo-Liu, Chun-Sheng Li

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BioMed research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Repurposing anticancer drugs for the management of COVID-19.European journal of cancer (Oxford, England : 1990) · 2020
    Review
  5. Review
  6. Observational
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

4 authors.

Qiang ZhangBeijing Key Laboratory of Cardiopulmonary Cerebral Resuscitation, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.
Zhijiang QiBeijing Key Laboratory of Cardiopulmonary Cerebral Resuscitation, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.
Bo-LiuBeijing Key Laboratory of Cardiopulmonary Cerebral Resuscitation, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.
Chun-Sheng LiBeijing Key Laboratory of Cardiopulmonary Cerebral Resuscitation, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.ORCID 0000-0002-3161-4457

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectTo investigate effects of programmed cell death-1 (PD-1) related blockade in sepsis animals.

methodsTwo reviewers independently searched electronic databases including PubMed, EMBASE, and the Cochrane Library up to February 2017. Strict literature retrieval and data extraction were performed to extract relevant data. Data analysis was conducted using RevMan 5.3 software and Stata version 12.0. And relative risks (RRs) for survival rate were calculated. A fixed-effect model was selected to pool and a forest plot was used to display RRs.

resultsFour studies involving 394 animals were finally included. Nine control groups are used to pool. A fixed-effect model was applied to estimate a pooled RR of 2.19 (95% CI: 1.74-2.76), indicating that PD-1 related blockade increased survival rate in sepsis animals.

conclusionWe concluded that PD-1 related blockade can improve survival of animals with sepsis. But robust standardized clinical experiments for sepsis patients are highly desirable.

Indexed as

Cell DeathAnimalsHumansMaleMiceProgrammed Cell Death 1 ReceptorSepsisProgrammed Cell Death 1 Receptor

Identifiers

PMID30159323
PMCPMC6109543

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.