Evidence map›Paper›PMID 34350137›Full record

ReviewResearch and reports in urology2021

Enhanced Recovery After Surgery and Radical Cystectomy: A Systematic Review and Meta-Analysis.

Muaz Peerbocus, Zeng-Jun Wang

Abstract readReview
In one paragraph

Review in Research and reports in urology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Observational
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  6. Review
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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

2 authors.

Muaz PeerbocusDepartment of Urology, Nanjing Medical University, Nanjing, People's Republic of China.
Zeng-Jun WangDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEnhanced recovery after surgery (ERAS) protocols aim to optimize patient recovery after major surgery. Our study was to examine the evidence of the effectiveness of interventions designed to improve patient outcomes after radical cystectomy.

designSystematic review and meta-analysis. DATA SOURCES: PubMed, Medline, Embase, Cochrane from January 2005 to January 2021 without language restrictions. ELIGIBILITY CRITERIA: Randomized and non-randomized controlled studies implementing ERAS measuring its interventions on rates of postoperative complications, 30-day readmission, length of stay (LOS) and bowel function after radical cystectomy. DATA EXTRACTION AND SYNTHESIS: Two members of the investigating team independently selected studies and evaluated bias using the Cochrane collaboration tool. Meta-analysis of all comparative studies used inversed-weighted, fixed- effects models and random effects models to pool results. Publication bias was graphically assessed using contour-enhanced funnel plots and the Egger's test of funnel plot symmetry.

resultsFifteen studies were included in our meta-analysis; we observed that ERAS decreased the time for the first bowel movement (standardized mean difference [SMD]: -1.30, 95% CI -1.90 to -0.70, P<0.00001) and shortened the length of stay (LOS) ([SMD]: -0.49, 95% CI -0.77 to -0.20, (P < 0.00001)); however, 30-day readmission (risk ratio [RR]: 0.97,95% [CI] 0.73 to 1.28, P=0.52) and the overall postoperative complication rate (risk ratio [RR]: 0.98,95% confidence interval [CI]: 0.88 to 1.09, P= 0.41) showed no significant difference.

Indexed as

enhanced recovery after surgerylength of staypost-operative complicationsradical cystectomy

Identifiers

PMID34350137
PMCPMC8328386

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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.