Evidence map›Paper›PMID 33400103›Full record

ArticleJournal of robotic surgery2021

Outcomes of robotic and laparoscopic cholecystectomy for benign gallbladder disease in Veteran patients.

Zoe Tao, Valerie-Sue Emuakhagbon, Thai Pham, M Mathew Augustine, Angela Guzzetta, Sergio Huerta

Abstract read
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In one paragraph

Article in Journal of robotic surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Pooled it
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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 at 2 institutions in 1 country.

Zoe TaoDepartment of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Valerie-Sue EmuakhagbonDepartment of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Thai PhamDepartment of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
M Mathew AugustineDepartment of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Angela GuzzettaDepartment of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Sergio HuertaDepartment of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA. Sergio.Huerta@UTSouthwestern.edu.
The University of Texas Southwestern Medical Center · USVA North Texas Health Care System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The robotic platform for cholecystectomy has been extensively studied in comparison to its laparoscopic counterpart with acceptable outcomes. However, wide acceptance of a robotic approach to cholecystectomy has been limited by increased operative room (OR) times and substantially higher cost. This is a single-institution retrospective review of Veteran patients presenting for elective laparoscopic (LC) and robotic (RC) cholecystectomies for benign biliary disease at the Dallas VA Medical Center. The primary goal was to interrogate 30-day morbidity as well as operative room times, estimated blood loss (EBL), hospital length of stay (LOS), and conversion rates. The entire cohort included 612 patients (age = 55.1 ± 12.9 years, men = 77.9%, BMI = 31.2 ± 6.3 kg/m

Indexed as

Cholecystectomy, LaparoscopicGallbladder DiseasesRobotic Surgical ProceduresVeteransAdultAgedHumansLength of StayMaleMiddle AgedRetrospective StudiesAcute cholecystitisBiliary colicBiliary dyskinesiaBiliary pancreatitisCholedocholithiasisLaparoscopic cholecystectomyRobotic cholecystectomy

Identifiers

PMID33400103
OpenAlexW3120885521

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.