Evidence map›Paper›PMID 34394308›Full record

ArticleAfrican health sciences2021

The impact of selenium administration on severe sepsis or septic shock: a meta-analysis of randomized controlled trials.

Lin Kong, Qing Wu, Bo Liu

Abstract read
In one paragraph

Article in African health sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. 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.

Lin KongDepartment of Clinical Nutrition, Children's Hospital of Chongqing Medical University, Chongqing 400014, China.
Qing WuDepartment of Pharmacy, Children's Hospital of Chongqing Medical University, Chongqing 400014, China.
Bo LiuDepartment of Gastroenterology, Children's Hospital of Chongqing Medical University, Chongqing 400014, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe efficacy of selenium administration to treat severe sepsis or septic shock remains controversial. We conduct a systematic review and meta-analysis to explore the impact of selenium administration on severe sepsis or septic shock.

methodsWe search PubMed, EMbase, Web of science, EBSCO, and Cochrane library databases through May 2020 for randomized controlled trials (RCTs) assessing the effect of selenium administration on severe sepsis or septic shock. Meta-analysis is performed using the random-effect model.

resultsFive RCTs involving 1482 patients are included in the meta-analysis. Overall, compared with control group in septic patients, selenium administration is not associated with reduced 28-day mortality (RR=0.93; 95% CI=0.73 to 1.19; P=0.58), but results in substantially decreased all-cause mortality (RR=0.78; 95% CI=0.63 to 0.98; P=0.03) and length of hospital stay (MD=-3.09; 95% CI=-5.68 to -0.50; P=0.02).

conclusionSelenium administration results in notable decrease in all-cause mortality and length of hospital stay, but shows no substantial influence on the 28-day mortality, length of ICU stay, duration of vasopressor therapy, the incidence of acute renal failure, adverse events, and serious adverse events for septic patients.

Indexed as

AdolescentAdultAgedAged, 80 and overFemaleHospital MortalityHumansIntensive Care UnitsMaleMiddle AgedRandomized Controlled Trials as TopicSeleniumSepsisShock, SepticTreatment OutcomeSeleniumrandomized controlled trialsSelenium administrationseptic shock

Identifiers

PMID34394308
PMCPMC8356584

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Registered trials

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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.