Evidence map›Paper›PMID 36091583›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2022

Clinical Value Analysis of Hepatectomy Based on Minimally Invasive Surgical Imaging for Hepatolithiasis.

Shubin Zhang, Zhongqiang Xing, Xinbo Zhou, Zixuan Hu, Jianhua Liu

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 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
0.1field-weighted citation impact, top 53% 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

5 authors at 1 institution in 1 country.

Shubin ZhangDepartment of General Surgery, The Second Hospital of Hebei Medical University, Shijiangzhuang 050000, Hebei, China.
Zhongqiang XingDepartment of General Surgery, The Second Hospital of Hebei Medical University, Shijiangzhuang 050000, Hebei, China.
Xinbo ZhouDepartment of General Surgery, The Second Hospital of Hebei Medical University, Shijiangzhuang 050000, Hebei, China.
Zixuan HuDepartment of General Surgery, The Second Hospital of Hebei Medical University, Shijiangzhuang 050000, Hebei, China.
Jianhua LiuDepartment of General Surgery, The Second Hospital of Hebei Medical University, Shijiangzhuang 050000, Hebei, China.ORCID https://orcid.org/0000-0001-8301-558X
Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the clinical value of hepatectomy based on minimally invasive surgical images in the treatment of hepatolithiasis. Methods: The clinical data of 87 patients with hepatolithiasis who received treatment in the Department of General Surgery of our hospital from February 2020 to September 2021 were retrospectively analyzed. According to different surgical methods, the patients were divided into minimally invasive group ( Results: The preoperative conditions of patients in the two groups were comparable, and the average operation time in the minimally invasive group was significantly longer than that in the laparotomy group ( Conclusion: Hepatectomy based on minimally invasive surgical imaging for hepatolithiasis is safe and feasible, has high clinical value, and can achieve similar short-term clinical efficacy to laparotomy and reduce the postoperative hospital stay of patients, reflecting its minimally invasive advantages, and it is worthy of clinical application.

Identifiers

PMID36091583
PMCPMC9451971
OpenAlexW4293843236

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.