Evidence map›Paper›PMID 30444919›Full record

SynthesisPloS one2018

Sequential organ failure assessment in predicting mortality after paraquat poisoning: A meta-analysis.

Wen Jie Wang, Li Wei Zhang, Shun Yi Feng, Jie Gao, Yong Li

Abstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

  1. Pooled it
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  6. Observational
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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.

Wen Jie WangEmergency Department, Cangzhou Central Hospital, Yunhe Qu, Cangzhou, China.
Li Wei ZhangLaboratory Department, Yutian County Hospital, Yutian Xian, Tangshan, China.
Shun Yi FengEmergency Department, Cangzhou Central Hospital, Yunhe Qu, Cangzhou, China.
Jie GaoEmergency Department, Cangzhou Central Hospital, Yunhe Qu, Cangzhou, China.
Yong LiEmergency Department, Cangzhou Central Hospital, Yunhe Qu, Cangzhou, China.ORCID 0000-0002-2268-6205

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sequential organ failure assessment (SOFA) score is commonly used to determine disease severity and predict prognosis in critically ill patients. However, the prognostic value of SOFA after acute paraquat (PQ) poisoning remains unclear. This meta-analysis aimed to study the capability of SOFA to predict mortality in patients with PQ poisoning. Databases that included PubMed, Embase, Web of Science, ScienceDirect, Embase, and Cochrane Library were searched through May 2018. Six studies involving 946 patients were included in the meta-analysis. Study-specific odds ratios (ORs) and 95% confidence intervals (CIs) were calculated, and then ORs with 95% CIs were pooled for the estimation of the prognostic role of SOFA in patients with PQ poisoning. Results showed that higher SOFA in patients with PQ poisoning was related to severe mortality (OR = 8.14, 95%CI 4.26-15.58, p<0.001). The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic OR, and area under the curve were 72% (95%CI 0.65-0.79), 75% (95%CI 0.65-0.83), 2.9 (95%CI 2.0-4.1), 0.37 (95%CI 0.28-0.41), 8 (95%CI 4-14), and 0.79 (95%CI 0.76-0.83), respectively. No evidence of publication bias was detected by funnel plot analysis and formal statistical tests. Sensitivity analyses showed no important differences in the estimates of effects. The high SOFA score (8.1-fold) was associated with severe mortality in patients with PQ poisoning.

Indexed as

Organ Dysfunction ScoresHerbicidesHumansMortalityParaquatPrognosisTime FactorsHerbicidesParaquat

Identifiers

PMID30444919
PMCPMC6239328

What OpenQuestion holds

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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.