Evidence map›Paper›PMID 40010955›Full record

ArticleIn vivo (Athens, Greece)

Novel Preoperative Immune Prognostic Index for Predicting Outcomes in Patients Undergoing Radical Nephroureterectomy for Upper Tract Urothelial Carcinoma.

Ken Shibata, Kosuke Iwatani, Y U Imai, Kentaro Yoshihara, Keiichiro Miyajima, Wataru Fukuokaya, Kagenori Ito, Taro Igarashi, Takafumi Yanagisawa, Kojiro Tashiro and 12 more

Abstract read
In one paragraph

Article in In vivo (Athens, Greece). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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

22 authors.

Ken Shibata *Department of Urology, The Jikei University School of Medicine, Tokyo, Japan.
Kosuke IwataniDepartment of Urology, The Jikei University School of Medicine, Tokyo, Japan.
Y U ImaiDepartment of Urology, The Jikei University School of Medicine, Tokyo, Japan.
Kentaro YoshiharaDepartment of Urology, The Jikei University School of Medicine, Tokyo, Japan.
Keiichiro MiyajimaDepartment of Urology, The Jikei University School of Medicine, Tokyo, Japan.
Wataru FukuokayaDepartment of Urology, The Jikei University School of Medicine, Tokyo, Japan.
Kagenori ItoDepartment of Urology, The Jikei University School of Medicine, Tokyo, Japan.
Taro IgarashiDepartment of Urology, The Jikei University School of Medicine, Tokyo, Japan.
Takafumi YanagisawaDepartment of Urology, The Jikei University School of Medicine, Tokyo, Japan.
Kojiro TashiroDepartment of Urology, The Jikei University School of Medicine, Tokyo, Japan.
Shusuke TsuzukiDepartment of Urology, The Jikei University School of Medicine, Tokyo, Japan.
Steffi Kar Kei YuenS.H. Ho Urology Centre, Department of Surgery, The Chinese University of Hong Kong, Hong Kong, S.A.R.
Jeremy Yuen-Chun TeohS.H. Ho Urology Centre, Department of Surgery, The Chinese University of Hong Kong, Hong Kong, S.A.R.
Brendan A YanadaDepartment of Urology, The Jikei University School of Medicine, Tokyo, Japan.
Yusuke KoikeDepartment of Urology, The Jikei University School of Medicine, Tokyo, Japan.
Tatsuya ShimomuraDepartment of Urology, The Jikei University School of Medicine, Tokyo, Japan.
Hiroki YamadaDepartment of Urology, The Jikei University School of Medicine, Tokyo, Japan.
Akira FurutaDepartment of Urology, The Jikei University School of Medicine, Tokyo, Japan.
Jun MikiDepartment of Urology, The Jikei University School of Medicine, Tokyo, Japan.
Takahiro KimuraDepartment of Urology, The Jikei University School of Medicine, Tokyo, Japan.
Fumihiko Urabe *Department of Urology, The Jikei University School of Medicine, Tokyo, Japan; furabe0809@gmail.com.
JIKEI-YAYOI Collaborative Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimThe lung immune prognostic index (LIPI), which is determined by assessing the derived neutrophil-to-lymphocyte ratio in conjunction with the level of lactate dehydrogenase, predicts outcomes in various cancers. Its utility as a preoperative biomarker in upper tract urothelial carcinoma (UTUC) patients remains unexplored. PATIENTS AND

methodsThis is a retrospective study of UTUC patients who underwent radical nephroureterectomy. Patients were stratified into favorable, intermediate, and poor LIPI groups. Non-urothelial tract recurrence-free survival (NUTRFS) was evaluated using Kaplan-Meier analysis, and Cox regression analyses were performed to identify risk factors for NUTRFS.

resultsA total of 567 UTUC patients were included, with 46.4% in the favorable, 44.6% in the intermediate, and 9.0% in the poor (9.0%) LIPI groups. The median participant age was 74 years, with a median follow-up of 26 months. Kaplan-Meier curves demonstrated that NUTRFS was significantly worse in patients with poor and intermediate LIPI scores than in those with favorable LIPI scores. Furthermore, combining LIPI status with pathological stages (pT3-4/ypT2-4) and lymph node metastasis status improved postoperative non-urothelial tract recurrence prognosis assessment.

conclusionThe preoperative LIPI is a prognostic indicator for patients with UTUC undergoing nephroureterectomy. Its predictive accuracy improves when combined with advanced pathological stages and lymph node metastasis status.

Indexed as

Carcinoma, Transitional CellNephroureterectomyUrologic NeoplasmsAgedAged, 80 and overBiomarkers, TumorFemaleHumansKaplan-Meier EstimateMaleMiddle AgedNeoplasm StagingNeutrophilsPrognosisRetrospective StudiesTreatment OutcomeBiomarkers, TumorLIPIlung immune prognostic indexmulticenter studypreoperative biomarkerUpper tract urothelial carcinoma

Identifiers

PMID40010955
PMCPMC11884453

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Registered trials

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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.