Evidence map›Paper›PMID 35089121›Full record

ArticleRambam Maimonides medical journal2022

Can Endoscopic Appearance, Selective Cytology, and Pathological Sampling During Ureteroscopy Accurately Predict Tumor Grade of Upper-Tract Urothelial Carcinoma?

Kamil Malshy, Omri Nativ, Ariel Zisman, Omer Sadeh, Azik Hoffman, Gilad E Amiel, Michael Mullerad

Open access · diamondAbstract read
In one paragraph

Article in Rambam Maimonides medical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 39% of its field
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, 3 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Kamil MalshyDepartment of Urology, Rambam Health Care Campus, Haifa, Israel.
Omri NativDepartment of Urology, Rambam Health Care Campus, Haifa, Israel.
Ariel ZismanDepartment of Urology, Rambam Health Care Campus, Haifa, Israel.
Omer SadehDepartment of Urology, Rambam Health Care Campus, Haifa, Israel.
Azik HoffmanDepartment of Urology, Rambam Health Care Campus, Haifa, Israel.
Gilad E AmielDepartment of Urology, Rambam Health Care Campus, Haifa, Israel.
Michael MulleradDepartment of Urology, Rambam Health Care Campus, Haifa, Israel.
Rambam Health Care Campus · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study examined the reliability of the various parameters obtained in diagnostic ureteroscopy for upper-tract urothelial carcinoma (UTUC) in predicting the degree of differentiation in the final pathological report after radical nephroureterectomy (RNU).

methodsWe conducted a retrospective review of patients undergoing RNU at a single tertiary hospital between 2000 and 2020. Only patients who underwent preoperative diagnostic ureteroscopy (URS) were included. The results of urine selective cytology, endoscopic appearance of the tumor, and biopsy taken during ureteroscopy were compared to the final pathological report.

resultsIn total, 111 patients underwent RNU. A preliminary URS was performed in 54. According to endoscopic appearance, 40% of the "solid"-looking tumors were high grade (HG), while 52% of those with a papillary appearance were low grade (LG). Positive cytology predicted HG tumors in 86% of cases. However, 42% of patients with negative cytology had HG disease. The biopsies acquired during URS showed that HG disease findings matched the final pathology in 75% of cases. However, 25% of patients noted as being HG, based on URS biopsies, were noted to have LG disease based on nephroureterectomy biopsies. Full analyses revealed that 40% of the cases diagnosed as LG based on the URS biopsies actually had HG disease.

conclusionsDirect tumor observation of papillary lesions, negative cytology, and biopsies indicating LG disease are of low predictive value for classifying the actual degree of tumor differentiation. No single test can accurately rule out HG disease. In light of the rising use of neo-adjuvant chemotherapy in UTUC, a reliable predictive model should be developed that accurately discriminates between HG and LG disease.

Identifiers

PMID35089121
PMCPMC8798584
OpenAlexW4225867571

What OpenQuestion holds

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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.