Evidence map›Paper›PMID 39359791›Full record

ReviewAnnals of medicine and surgery (2012)2024

Efficacy and safety of ketamine wound infiltration for postoperative pain management: a systematic review, meta-analysis, and trial sequential analysis.

Semagn M Abate, Getachew Mergia, Bivash Basu, Mussie Gezahegn, Animut Ayinie

Abstract readReview
In one paragraph

Review in Annals of medicine and surgery (2012), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Semagn M AbateDepartment of Anesthesiology, College of Health Sciences and Medicine, Wollo University, Dessie.
Getachew MergiaDepartment of Obstetrics and Gynecology, College of Health Sciences and Medicine, Dilla University.
Bivash BasuDepartment of Anesthesiology, College of Health Sciences and Medicine, Dilla University.
Mussie GezahegnDepartment of Anesthesiology, College of Health Sciences and Medicine, Dilla University.
Animut AyinieDepartemnt of Surgery, College of Health Sciences and Medicine, Dilla University, Dilla Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Postoperative pain has a huge impact on the patients, families, healthcare practitioners, and healthcare delivery. Pain management with opioid-based analgesics and blind techniques have certain limitations, and ultrasound-based regional analgesia necessitates resources and experience, but ketamine wound infiltration is innovative with few side effects. However, its effectiveness is still uncertain. Methods: A thorough search was carried out across various databases including PubMed/Medline, Cochrane, ScienceDirect, CINAHL, and LILACS, with no limitations on date or language. Only randomized trials comparing the effectiveness of ketamine wound infiltration for managing postoperative pain were considered for inclusion. Two authors independently conducted data extraction, and the quality of evidence was assessed using GRADEpro software. Trial sequential analysis (TSA) was utilized to ascertain the conclusiveness of the findings. Results: The review showed that the first analgesic request was higher in the control group as compared to ketamine standard mean difference (SMD)=1.68 (95% CI: 0.95-2.41). The TSA revealed that the cumulative Conclusion: Despite available evidence, the provision of a firm conclusion is less optimal with current evidence as the included studies were unpowered with low to very low quality of evidence.

Indexed as

cesarean sectionpostoperative painwound infiltration

Identifiers

PMID39359791
PMCPMC11444560

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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.