Evidence map›Paper›PMID 42684549›Full record

ReviewJournal of robotic surgery2026

From buccal mucosa to appendix: a bibliometric and evidence-maturity analysis of autologous tissue-based robot-assisted ureteral reconstruction.

Jiangwei Man, Zijian Zhang, Peihan Niu, Wenying Jing, Kangyu Wang, Yalong Zhang, Hao Wang, Changhong Xu, Li Yang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of robotic 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

9 authors.

Jiangwei Man *Department of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, No.82 Cuyingmen, Chengguan District, Lanzhou City, 730000, Gansu Province, China.
Zijian Zhang *Department of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, No.82 Cuyingmen, Chengguan District, Lanzhou City, 730000, Gansu Province, China.
Peihan Niu *Clinical Medicine Program, The Second Clinical Medical College, Lanzhou University, No. 82 Cuiyingmen, Chengguan District, Lanzhou, 730000, Gansu, China.
Wenying JingPediatrics Program, The Second Clinical Medical College, Lanzhou University, No. 82 Cuiyingmen, Chengguan District, Lanzhou, 730000, Gansu, China.
Kangyu WangDepartment of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, No.82 Cuyingmen, Chengguan District, Lanzhou City, 730000, Gansu Province, China.
Yalong ZhangDepartment of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, No.82 Cuyingmen, Chengguan District, Lanzhou City, 730000, Gansu Province, China.
Hao WangDepartment of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, No.82 Cuyingmen, Chengguan District, Lanzhou City, 730000, Gansu Province, China.
Changhong XuDepartment of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, No.82 Cuyingmen, Chengguan District, Lanzhou City, 730000, Gansu Province, China.
Li YangDepartment of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, No.82 Cuyingmen, Chengguan District, Lanzhou City, 730000, Gansu Province, China. ery_yangli@lzu.edu.cn.

Funding

2025 National College Student Innovation and Entrepreneurship Training Program of Lanzhou University 20250050143Cuiying Student Research Training Program of the Second Hospital of Lanzhou University CYXZPT2026-25
6 · The paper itself

Abstract

Robot-assisted ureteral reconstruction has evolved from bowel substitution to free oral mucosal grafts and vascularized appendiceal techniques, yet the intellectual structure and clinical maturity of these autologous tissue strategies remain unclear. PubMed and the Web of Science Core Collection were searched from inception through 2 August 2026. Records were merged, deduplicated, screened, and linked to OpenAlex for bibliometric enrichment. Publication trends, institutional contributions, co-citation patterns, thematic evolution, evidence maturity, and outcome reporting were assessed. Among 201 unique records screened, 74 publications were included in the bibliometric corpus and 66 primary clinical or technical reports formed the evidence-maturity subset. Bowel segments were the largest category (28/74), followed by buccal mucosa (22/74), appendix (12/74), lingual/labial mucosa (11/74), and mixed tissue (1/74). Thirty-six publications appeared during 2024-2026, and co-citation analysis identified distinct mucosal-graft and bowel-substitution foundations. Of the 66 primary reports, 24 were classified as E1, 8 as E2, 10 as E3, 22 as E4, and 2 as E5. Outcome reporting remained heterogeneous, device-free status was not explicitly detectable, while patient-reported outcomes appeared in only 4-17% of reports across the principal tissue groups. Overall, the field is progressing from technical feasibility toward multicenter validation, but evidence maturity remains uneven. Buccal mucosa currently has the broadest robotic evidence base, lingual/labial grafting is expanding, appendiceal reconstruction remains an anatomy-dependent option, and bowel substitution continues to serve extensive defects. Future research should prioritize prospective comparisons, standardized core outcomes, and long-term functional and patient-reported follow-up.

Indexed as

AppendixBibliometricsMouth MucosaPlastic Surgery ProceduresRobotic Surgical ProceduresUreterHumansTransplantation, AutologousAppendixBibliometricsBuccal mucosaEvidence maturityRobot-assisted surgeryUreteral reconstruction

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.