Evidence map›Paper›PMID 35268470›Full record

ArticleJournal of clinical medicine2022

Learning Curve Analysis of Single-Site Robot-Assisted Hysterectomy.

Yeon Jee Lee, Dong-Eun Lee, Jaekyung Bae, Hyeong In Ha, Myong Cheol Lim

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. 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

5 authors at 3 institutions in 1 country.

Yeon Jee LeeCenter for Gynecologic Cancer, Research Institute and Hospital, National Cancer Center, Goyang 10408, Korea.
Dong-Eun LeeBiostatistics Collaboration Team, Research Institute, National Cancer Center, Goyang 10408, Korea.
Jaekyung BaeDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul 03080, Korea.
Hyeong In HaDepartment of Obstetrics and Gynecology, Pusan National University Yangsan Hospital, Yangsan 50612, Korea.
Myong Cheol LimCenter for Gynecologic Cancer, Research Institute and Hospital, National Cancer Center, Goyang 10408, Korea.ORCID 0000-0001-8964-7158
National Cancer Center · KRPusan National University Yangsan Hospital · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aim to analyze the surgical outcomes and learning curve of single-site robot-assisted hysterectomy. This was a retrospective cohort study from a single academic medical center. A total of 123 patients who underwent single-site robotic surgery for gynecologic disease were enrolled. Gynecologic surgeries were performed by a single surgeon using single-site robot-assisted hysterectomy. The median age of enrolled patients was 49 years (range: 30-74 years). The median operation time was 131 min (range: 59-502 min) and the median docking time was 3 min (range: 1-10 min). In addition, the median console time was 76 min (range: 29-465 min). The cumulative sum (CUSUM) graph for total operation time indicated an initial decrease at case 41, generating 3 distinct performance phases: learning (

Indexed as

CUSUM graphhysterectomylearning curverobotic surgery

Identifiers

PMID35268470
PMCPMC8911377
OpenAlexW4214946394

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.