Evidence map›Paper›PMID 36757563›Full record

ArticleJournal of robotic surgery2023

Learning curves and perioperative outcomes of single-incision robotic sacrocolpopexy on two different da Vinci

Sumin Oh, Nayoung Bae, Hyun-Woong Cho, Yoon Jeong Park, Yong Jin Kim, Jung-Ho Shin

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of robotic surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Systematic Review and Clinical Outcomes of new Robotic Systems in Urology.International braz j urol : official journal of the Brazilian Society of Urology
    Pooled it
  3. Article
  4. Single+1 Port Robotic Splenectomy Using the da Vinci SP System-Experience of a Single Centre.The international journal of medical robotics + computer assisted surgery : MRCAS · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Outcomes of robotic sacrocolpopexy.Obstetrics & gynecology science · 2023
    Article
  10. 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

6 authors.

Sumin Oh *Department of Obstetrics and Gynecology, Korea University Guro Hospital, 148 Gurodong-ro, Guro-gu, Seoul, 08308, Republic of Korea.
Nayoung Bae *Department of Obstetrics and Gynecology, Korea University Guro Hospital, 148 Gurodong-ro, Guro-gu, Seoul, 08308, Republic of Korea.
Hyun-Woong ChoDepartment of Obstetrics and Gynecology, Korea University Guro Hospital, 148 Gurodong-ro, Guro-gu, Seoul, 08308, Republic of Korea.
Yoon Jeong ParkDepartment of Obstetrics and Gynecology, Korea University Guro Hospital, 148 Gurodong-ro, Guro-gu, Seoul, 08308, Republic of Korea.
Yong Jin KimDepartment of Obstetrics and Gynecology, Korea University Guro Hospital, 148 Gurodong-ro, Guro-gu, Seoul, 08308, Republic of Korea.
Jung-Ho ShinDepartment of Obstetrics and Gynecology, Korea University Guro Hospital, 148 Gurodong-ro, Guro-gu, Seoul, 08308, Republic of Korea. shinjh@korea.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to report a single surgeon's early experience and learning curves of single-incision robotic sacrocolpopexy on two different robotic surgical platforms, namely, the single-site approach on da Vinci Xi

Indexed as

Pelvic Organ ProlapseRoboticsRobotic Surgical ProceduresAgedFemaleHumansLearning CurveMiddle AgedRetrospective StudiesTreatment OutcomePelvic organ prolapseRobotic surgerySacrocolpopexySingle-incision surgery

Identifiers

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.