Evidence map›Paper›PMID 42719911›Full record

ArticleIndian journal of anaesthesia2026

Quantifying carbon dioxide emissions in paediatric anaesthesia practice: The impact of volatile anaesthetic choice: A prospective, randomised, single-blinded comparative study.

Saumya Pant, Parul Jindal, Amit K Chauhan

Abstract read
In one paragraph

Article in Indian journal of anaesthesia, 2026. 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

3 authors.

Saumya PantDepartment of Anaesthesia and Pain Management, Himalayan Institute of Medical Sciences, SRHU, Dehradun, Uttarakhand, India.ORCID https://orcid.org/0009-0009-1804-5972
Parul JindalDepartment of Anaesthesia and Pain Management, Himalayan Institute of Medical Sciences, SRHU, Dehradun, Uttarakhand, India.ORCID https://orcid.org/0000-0002-5599-5514
Amit K ChauhanDepartment of Anaesthesia and Pain Management, Himalayan Institute of Medical Sciences, SRHU, Dehradun, Uttarakhand, India.ORCID https://orcid.org/0000-0001-5652-5031

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Carbon foot printing provides a metric for the environmental burden-energy, waste, and potent greenhouse emissions-inherent in our daily clinical practice. This study quantifies and compares the carbon dioxide (CO Methods: Fifty American Society of Anesthesiologists physical status I-II children aged between 3 and 12 years of either gender with no congenital anomalies undergoing elective surgery with second-generation supraglottic airways were prospectively evaluated. Patients were randomised into Group S (Sevoflurane, Results: While haemodynamic stability and bispectal index-monitored depth remained consistent across both cohorts, the ecological divergence was profound. The mean agent consumption was significantly lower in the S group (28.39 ± 15.88) as compared to the D group (49.30 ± 0.29). Most strikingly, the mean CO Conclusion: Sevoflurane demonstrated a significantly lower carbon footprint than desflurane. Given that clinical outcomes and haemodynamic stability remained consistent across cohorts, the transition to sevoflurane-based maintenance represents a high-impact, actionable intervention for sustainable paediatric practice. These findings advocate the preferential use of sevoflurane as the primary volatile agent in "green anaesthesia" protocols, though further multicentre validation is required to solidify these environmental benchmarks.

Indexed as

Carbon footprintdesfluranesevoflurane

Identifiers

PMID42719911
PMCPMC13557721

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.