Evidence map›Paper›PMID 31415389›Full record

SynthesisMedicine2019

Timing of continuous renal replacement therapy in patients with septic AKI: A systematic review and meta-analysis.

Yuting Li, Hongxiang Li, Dong Zhang

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 21% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
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  12. 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

3 authors at 2 institutions in 1 country.

Yuting LiDepartment of Intensive Care Unit, The First Hospital of Jilin University, Changchun, Jilin, China.
Hongxiang Li
Dong Zhang
Jilin University · CNFirst Hospital of Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe effects of early continuous renal replacement therapy (CRRT) on mortality in patients with septic acute kidney injury (AKI) remain controversial. A systematic review and meta-analysis was performed to investigate the impact of timing of CRRT on clinical outcomes in patients with septic AKI.

methodsThe PubMed, Cochrane, and Embase databases were searched from inception to the 31st of March 2019, to identify trials that assessed the timing of initiation of CRRT in patients with septic AKI.

resultsFive trials including 900 patients were included. The results of this meta-analysis showed that there was no significant difference between 28-day mortality (odds ratio = 0.76;95% CI, 0.58-1.00; P = .05) and 90-day mortality(odds ratio = 0.79;95% CI, 0.59-1.06; P = .12)of early and late initiation of CRRT group. In addition, compared with late initiation strategy, early initiation showed no significant advantage in length of stay in ICU (Mean difference = -0.9;95% CI, -2.37 to 0.57; P = .23) and length of stay in hospital (Mean difference = -1.43;95% CI, -5.28 to 2.41; P = .47).

conclusionOur meta-analysis revealed that early initiation of CRRT could not reduce mortality in patients with septic AKI. The study also showed no significant difference in ICU length of stay or hospital length of stay between early and late CRRT group. To achieve optimal timing of CRRT for septic AKI, large multicenter randomized trials with better design are still needed.

Indexed as

Acute Kidney InjuryAdultFemaleHumansIntensive Care UnitsLength of StayMaleMiddle AgedOdds RatioRenal Replacement TherapyRisk FactorsSepsisTime FactorsTime-to-Treatment

Identifiers

PMID31415389
PMCPMC6831327
OpenAlexW2968564810

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.