Evidence map›Paper›PMID 42121159›Full record

ArticleWorld journal of surgical oncology2026

The efficacy and predictive value of

Ruifeng Xue, Zhiyan Liu, Zhichao Tan, Yujun Cui, Chujie Bai, Shu Li, Tian Gao, Lu Zhang, Xinyu Wang, Zhengfu Fan and 1 more

Abstract read
In one paragraph

Article in World journal of surgical oncology, 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

11 authors.

Ruifeng Xue *Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Bone and Soft Tissue Tumor, Peking University Cancer Hospital & Institute, Beijing, China.
Zhiyan Liu *Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing, China.
Zhichao Tan *Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Bone and Soft Tissue Tumor, Peking University Cancer Hospital & Institute, Beijing, China.
Yujun Cui *Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing, China.
Chujie BaiKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Bone and Soft Tissue Tumor, Peking University Cancer Hospital & Institute, Beijing, China.
Shu LiKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Bone and Soft Tissue Tumor, Peking University Cancer Hospital & Institute, Beijing, China.
Tian GaoKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Bone and Soft Tissue Tumor, Peking University Cancer Hospital & Institute, Beijing, China.
Lu ZhangKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Bone and Soft Tissue Tumor, Peking University Cancer Hospital & Institute, Beijing, China.
Xinyu WangKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Bone and Soft Tissue Tumor, Peking University Cancer Hospital & Institute, Beijing, China.
Zhengfu FanKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Bone and Soft Tissue Tumor, Peking University Cancer Hospital & Institute, Beijing, China. zhengfufan@pku.edu.cn.ORCID http://orcid.org/0000-0002-3616-1848
Jiayong LiuKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Bone and Soft Tissue Tumor, Peking University Cancer Hospital & Institute, Beijing, China. liujiayong@pku.edu.cn.ORCID http://orcid.org/0000-0002-4798-5404

Funding

Beijing-Tianjin-Hebei Basic Research Cooperation Special Project No.22JCZXJC00180
6 · The paper itself

Abstract

backgroundWe sought to evaluate the efficacy and predictive value of

methodsWe retrospectively analyzed data from 663 melanoma patients who underwent SLNB in our center between February 2009 and March 2019. Participants enrolled in the study included 374 AM and 128 cutaneous melanoma (CM) patients, who received

resultsSLNs were successfully imaged using SPECT-CT and harvested from all 374 AM and 128 CM patients. Of these study participants, 19 AM and 9 CM patients were diagnosed as false negative (FN) SLN corresponding to a FN rate of 17.9% and 20.5%, respectively. The rate of positive SLN was 23.3% and 27.3% (P = 0.353) in AM and CM, respectively. No predictive factors were discovered for FN. The T stage was found to be a potential risk factor for SLNB-positive (OR: 1.311; 95% CI: 1.051-1.635; P = 0.016) cases in AM patients, whereas no significant differences were observed in CM patients (P > 0.05). Cox-regression multiple factor analysis revealed that SLNB positivity was an independent risk factor for DFS and OS in AM patients.

conclusion

Indexed as

MelanomaOrganotechnetium CompoundsRadiopharmaceuticalsRituximabSentinel Lymph NodeSentinel Lymph Node BiopsySkin NeoplasmsAdultAgedAged, 80 and overFemaleFollow-Up StudiesHumansLymphatic MetastasisMaleMiddle AgedOrganotechnetium CompoundsRadiopharmaceuticalsRituximabTechnetium99mTc-rituximabAcral melanomaFalse negativeSentinel lymph node biopsy

Identifiers

PMID42121159
PMCPMC13335309

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.