Evidence map›Paper›PMID 42694071›Full record

ArticleBMJ connections surgery2026

Representation in robotic surgery randomised controlled trials: a systematic review.

Sara Varadharajulu, Robin Ji, Sanket Dhruva, John Neuhaus, Ken Cohen, Rita Redberg

Abstract read
In one paragraph

Article in BMJ connections surgery, 2026. 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
–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

0 citing papers in PubMed.

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

6 authors.

Sara VaradharajuluUniversity of California San Francisco Department of Medicine, San Francisco, California, USA.ORCID https://orcid.org/0000-0003-2606-5358
Robin JiThe University of Chicago Pritzker School of Medicine, Chicago, Illinois, USA.
Sanket DhruvaDepartment of Medicine, Section of Cardiology, San Francisco VA Medical Center, San Francisco, California, USA.
John NeuhausDepartment of Epidemiology and Biostatistics, University of California San Francisco School of Medicine, San Francisco, California, USA.
Ken CohenOptum Center for Research and Innovation, Optum Health LLC, Eden Prairie, Minnesota, USA.
Rita RedbergUniversity of California San Francisco Philip R Lee Institute for Health Policy Studies, San Francisco, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Robotic surgery has been widely adopted across surgical specialties since its introduction in the 1980s, making it important to assess the representation of patients from varying demographic backgrounds in clinical trials. The objective of this study was to evaluate the demographic representativeness of randomised controlled trials (RCTs) on robotic surgery. Research Design and Methods: This systematic review was conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. PubMed, Embase and Web of Science databases were searched for English-language RCTs conducted between January 2000 and December 2022. Only RCTs that enrolled participants of both sexes and compared robotic surgery with a non-robotic comparator were included. Primary outcomes included the reporting of participants' demographic information, specifically sex, age, race and ethnicity, the inclusion of subgroup analyses based on these demographics and the distribution of demographics within each study. Results: Out of 75 RCTs, 71 (95%) trials reported participant sex, 73 (97%) RCTs reported age and four (5%) RCTs reported race or ethnicity. Six (8%) RCTs provided sex-specific results, three (4%) RCTs provided age-specific outcomes and no RCTs reported outcomes based on race or ethnicity. The average percentage of female patients per RCT was 47.1% and the average age was 59.7 (SD=9) years. Of the RCTs that reported race or ethnicity, 59.5% of the population was Caucasian, 25.0% was Hispanic, 13.9% was African American and 1.6% was Asian/Pacific Islander/other. Conclusions: There was underreporting of demographic data, especially race and ethnicity of participants, a lack of demographic-specific study outcomes and underrepresentation of women and non-white participants across RCTs. This study highlights the need for greater efforts to improve diversity in robotic surgery clinical trials.

Indexed as

Evidence-Based SurgeryRobotic Surgical Procedures

Identifiers

PMID42694071
PMCPMC13537480

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.