Evidence map›Paper›PMID 40248791›Full record

ArticleJournal of anaesthesiology, clinical pharmacology

Comparative evaluation of two different doses of nebulized intraperitoneal dexamethasone on postoperative pain in laparoscopic surgeries.

Neha Shrivastava, Rashmi Taneja, Mamta Kumari, Rajesh Sood, Niharika Grover

Abstract read
In one paragraph

Article in Journal of anaesthesiology, clinical pharmacology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Neha ShrivastavaDepartment of Anaesthesia, ESIC Medical College, Faridabad, Haryana, India.
Rashmi TanejaDepartment of Anaesthesia, ESIC Medical College, Faridabad, Haryana, India.
Mamta KumariDepartment of Anaesthesia, ESIC Medical College, Faridabad, Haryana, India.
Rajesh SoodDepartment of Anaesthesia, ESIC Medical College, Faridabad, Haryana, India.
Niharika GroverDepartment of Anaesthesia, ESIC Medical College, Faridabad, Haryana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Postoperative pain is a major cause of discomfort after laparoscopic surgeries and thus necessitates prevention and treatment. This study aims to evaluate and compare two different doses of intraperitoneally nebulized (aerosol size: 0.4-4.5 micrometers) dexamethasone for the prevention of postoperative pain. Material and Methods: In this double-blind, randomized control study, 135 patients undergoing laparoscopic surgeries were randomly assigned to three groups after obtaining ethical committee clearance and CTRI registration. Intraperitoneal nebulization was performed using the Aeroneb device, with group A receiving 16 mg dexamethasone, group B receiving 8 mg dexamethasone, and group C receiving 0.9% normal saline. The primary outcome was assessed by measuring visceral, somatic, and referred pain using a visual analog scale (VAS) at 6 hours postoperatively. Secondary outcomes included VAS at 1 and 24 hours, the hemodynamic response to pneumo-peritoneum, 24-hour anti-emetics, and opioid consumption. Results: VAS score at 6 hours was 0.9 ± 1.06 in group A, 1.7 ± 1.45 in group B, and 2.3 ± 1.87 in group C for referred pain; the values were statistically significant ( Conclusions: Intraperitoneal dexamethasone nebulization of 16 mg and 8 mg both are equi-effective in decreasing the severity of pain after laparoscopic surgeries compared to normal saline nebulization (

Indexed as

Dexamethasoneintraperitoneallaparoscopicnebulizationpain

Identifiers

PMID40248791
PMCPMC12002692

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.