Evidence map›Paper›PMID 36505276›Full record

ArticleAmerican journal of translational research2022

Application of sevoflurane combined with remifentanil anesthesia in laparoscopic radical hysterectomy for cervical cancer.

Kun Wang, Ying Rao, Xuan Dong

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. 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 at 1 institution in 1 country.

Kun WangDepartment of Anesthesiology, Hubei Provincial Hospital of Traditional Chinese Medicine Wuhan 430074, Hubei, China.
Ying RaoDepartment of Anesthesiology, Hubei Provincial Hospital of Traditional Chinese Medicine Wuhan 430074, Hubei, China.
Xuan DongDepartment of Anesthesiology, Hubei Provincial Hospital of Traditional Chinese Medicine Wuhan 430074, Hubei, China.
Hubei Provincial Hospital of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the effects of sevoflurane combined with remifentanil anesthesia on the physical stress and immunologic function of patients undergoing laparoscopic radical hysterectomy for cervical cancer.

methodsThe clinical data of 74 patients undergoing laparoscopic radical hysterectomy for cervical cancer were retrospectively analyzed. Patients were divided into two groups according to the different anesthesia methods, among which 37 cases received propofol and remifentanil anesthesia were set as a control group (CG), and 37 cases received sevoflurane and remifentanil anesthesia were set as an observation group (OG).

resultsThe OG showed a lower heart rate, Ramsay score and bispectral index than the CG 30 min after the start of the surgery and at the end of the surgery. The levels of glucagon, angiotensin II and cortisol in the OG were lower than those in the CG upon skin incision, at the end of surgery, and at 1 h after surgery (

conclusionSevoflurane combined with remifentanil anesthesia for patients undergoing laparoscopic radical hysterectomy for cervical cancer is superior to propofol and remifentanil, and can ensure stable hemodynamics and mitigate physical stress, so it is worthy of clinical application.

Indexed as

cervical cancercognitive functionimmunologic functionLaparoscopic radical hysterectomyphysical stressremifentanilsevoflurane

Identifiers

PMID36505276
PMCPMC9730062
OpenAlexW4311288893

What OpenQuestion holds

Textmetadata
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.