Evidence map›Paper›PMID 35046168›Full record

ArticleJournal of minimal access surgery

Role of enhanced recovery after surgery in total laparoscopic hysterectomy.

Mili Inania, Priyanka Sharma, Manoj Parikh

Open access · goldAbstract read
In one paragraph

Article in Journal of minimal access surgery. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 30% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. 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.

Mili InaniaDepartment of OBG, Medipulse Hospital, Jodhpur, Rajasthan, India.
Priyanka SharmaDepartment of OBG, Medipulse Hospital, Jodhpur, Rajasthan, India.
Manoj ParikhDepartment of Anesthesia, Balaji Hospital, Jodhpur, Rajasthan, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEnhanced recovery after surgery (ERAS) principles is an evidence-based surgical management approach that requires cooperation across various medical specialties. In this study, we applied ERAS principles in total laparoscopic hysterectomy (TLH) and the post-operative outcomes like post-operative pain, nausea and vomiting, opioid requirement, day of discharge, and any other complaints were studied.

methodsThe study was conducted in a private healthcare setup in Jodhpur, Rajasthan, India. In this non-randomised controlled study 103 patients who underwent TLH over a period of 1 year were alternatively allocated to the study group and the control group. There were 51 patients in the study group in whom ERAS principles were applied and 52 patients in control group in whom traditional post-operative care was given.

resultsPost-operative nausea and vomiting and opioid requirement were significantly reduced in the study group (P < 0.05). The post-operative pain was similar in both groups. The majority of patients in study group were discharged within 24 h as compared to the routine discharge after 48 h.

conclusionFollowing ERAS principles in TLH results in decrease in post-operative nausea and vomiting, post-operative opioid requirement and hospital stay. Hence, the ERAS principles should be the standard practice in TLH even in a developing country setup.

Indexed as

Benign gynaecological conditionsdeveloping countriesenhanced recovery after surgerytotal laparoscopic hysterectomy

Identifiers

PMID35046168
PMCPMC8973480
OpenAlexW3208813593

What OpenQuestion holds

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LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.