Evidence map›Paper›PMID 35847147›Full record

ArticleJournal of education and health promotion2022

Randomized controlled trial to study the efficacy and safety of ultrasound-guided pectoral nerve block for superficial breast surgeries.

Nazia Nazir, Anupriya Saxena, Shipra Singh, Shruti Jain

Open access · goldAbstract read
In one paragraph

Article in Journal of education and health promotion, 2022. 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
0.2field-weighted citation impact, top 47% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

4 authors at 3 institutions in 1 country.

Nazia NazirDepartment of Anaesthesiology, Government Institute of Medical Sciences, Greater Noida, Uttar Pradesh, India.
Anupriya SaxenaDepartment of Anaesthesiology, Government Institute of Medical Sciences, Greater Noida, Uttar Pradesh, India.
Shipra SinghRama Medical College Hospital and Research Center, Hapur, Uttar Pradesh, India.
Shruti JainDepartment of Anaesthesiology, Vardhman Mahavir Medical College and Hospital, New Delhi, India.
Institute of Medical Sciences · INRama Hospital & Research Centre · INVardhman Mahavir Medical College & Safdarjung Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOur study aimed to compare pectoral nerve (PEC) block with local anesthetic (LA) infiltration for providing analgesia in superficial breast surgeries. MATERIALS AND

methodsThis prospective comparative randomized study included seventy American Society of Anesthesiologists I and II female patients undergoing excision of fibroadenoma. In Group 1, the LA mixture was infiltrated in the desired planes. In Group 2, PEC I and PEC II blocks were performed under ultrasound guidance. Patients were observed at regular time intervals for pain scores, time to first analgesic request, and the number of patients requiring rescue analgesia with the cumulative analgesic requirement, hemodynamic changes, and any adverse events.

resultsThe patients were comparable in demographic profile, duration of anesthesia, and hemodynamic parameters. NRS scores at all times after extubation were significantly lower in Group 2 as compared to Group 1 (

conclusionPEC block is a useful method for achieving effective and long-lasting analgesia. It is an efficient and safe alternative to LA infiltration in patients undergoing fibroadenoma excision.

Indexed as

Analgesiafibroadenomapectoral nerve block

Identifiers

PMID35847147
PMCPMC9277728
OpenAlexW4285818122

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.