Evidence map›Paper›PMID 41511665›Full record

ArticleJournal of robotic surgery2026

Probabilistic multi-criteria decision analysis comparing robot-assisted and laparoscopic radical nephroureterectomy.

Shugo Yajima, Soichiro Yoshida, Wei Chen, Hiroyuki Sato, Akihiro Hirakawa, Motohiro Fujiwara, Minato Yokoyama, Yuki Arita, Hiroshi Fukushima, Yosuke Yasuda and 3 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Journal of robotic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

13 authors.

Shugo YajimaDepartment of Urology, Institute of Science Tokyo, Tokyo, Japan.
Soichiro YoshidaDepartment of Urology, Institute of Science Tokyo, Tokyo, Japan. s-yoshida.uro@tmd.ac.jp.
Wei ChenDepartment of Urology, Institute of Science Tokyo, Tokyo, Japan.
Hiroyuki SatoDepartment of Clinical Biostatistics, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, Japan.
Akihiro HirakawaDepartment of Clinical Biostatistics, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, Japan.
Motohiro FujiwaraDepartment of Urology, Teikyo University School of Medicine Mizonokuchi Hospital, Kanagawa, Japan.
Minato YokoyamaDepartment of Urology, Teikyo University School of Medicine Mizonokuchi Hospital, Kanagawa, Japan.
Yuki AritaDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Hiroshi FukushimaDepartment of Urology, Institute of Science Tokyo, Tokyo, Japan.
Yosuke YasudaDepartment of Urology, Institute of Science Tokyo, Tokyo, Japan.
Hajime TanakaDepartment of Urology, Institute of Science Tokyo, Tokyo, Japan.
Hitoshi MasudaDepartment of Urology, National Cancer Center Hospital East, Chiba, Japan.
Yasuhisa FujiiDepartment of Urology, Institute of Science Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To compare robot-assisted radical nephroureterectomy (RANU) and laparoscopic radical nephroureterectomy (LNU) using a probability-based multi-criteria decision analysis (MCDA) framework integrating perioperative, pathological, and mortality outcomes while explicitly modeling uncertainty. Comparative effect estimates were drawn from a published meta-analysis (O’Sullivan et al., 2023) of 29,987 patients (RANU 9,175; LNU 20,812). Six criteria were evaluated: overall morbidity, operative time, length of stay (LOS), estimated blood loss, positive surgical margins, and mortality. Effect estimates and 95% confidence intervals (CIs) informed normal distributions (log-odds scale for odds ratios). Outcomes were mapped to a 0–1 value scale using symmetric, clinically interpretable anchors. Uncertainty was assessed via Monte Carlo simulation (50,000 iterations). Five prespecified weighting scenarios (equal, safety-focused, oncology-focused, efficiency-focused, balanced) produced overall scores, rank probabilities, and pairwise net advantages. Sensitivity analysis evaluated anchor robustness. Under equal weighting, mean scores were 0.523 for RANU and 0.500 for LNU, with RANU preferred in 79.0% of simulations (net advantage, 0.023; 95% CI, − 0.032 to 0.079). RANU demonstrated higher preference probabilities in safety-focused (96.2%), oncology-focused (97.6%), and balanced (93.1%) scenarios, driven by lower morbidity and mortality. LNU was favored only when operative time and length of stay received dominant weight (RANU preference, 14.6%). Findings remained stable across anchor perturbations. When uncertainty and stakeholder preferences are incorporated, RANU demonstrates a higher probability of overall clinical benefit in safety- and oncology-focused settings; however, net advantage estimates showed uncertainty intervals overlapping zero in several scenarios, and these findings should not be interpreted as definitive clinical dominance. This probabilistic MCDA framework provides transparent, preference-aligned surgical decision-making.

Indexed as

Decision Support TechniquesLaparoscopyNephroureterectomyRobotic Surgical ProceduresBlood Loss, SurgicalHumansLength of StayMonte Carlo MethodOperative TimeProbabilityDecision analysisMonte carlo simulationMulti-criteria decision analysisProbabilistic analysisRobot-assisted radical nephroureterectomyUpper tract urothelial carcinoma

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.