Evidence map›Paper›PMID 36818940›Full record

ArticleActa clinica Croatica2022

URINARY BLADDER CANCER RECURRENCE AND EXPRESSION OF LYNCH AND HER MARKERS: SEARCHING FOR IMMUNOHISTOCHEMICAL PATTERNS AMONG 113 TUMORS FROM 33 PATIENTS.

Mate Matić, Branko Dmitrović, Suzana Matić, Sven Kurbel

Open access · diamondAbstract read
In one paragraph

Article in Acta clinica Croatica, 2022. 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, top 67% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

4 authors at 1 institution in 1 country.

Mate MatićOsijek Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia.
Branko DmitrovićOsijek Faculty of Dental Medicine and Health, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia.
Suzana MatićOsijek Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia.
Sven KurbelOsijek Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia.
University of Osijek · HR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim was to identify immunohistochemical (IHC) markers able to predict recurrence of urinary bladder tumors. The method of multivariate adaptive regression splines (MARS) was applied to IHC data of 33 patients with urinary bladder cancer that relapsed one to six times (24 male and nine female, age 57-87 years). The MARS analysis was used to predict the total number of recurrences and the Ki-67 value by nine IHC markers (epidermal growth factor receptor (EGFR), HER2, HER3, E-cadherin, Ki-67, MLH1, MSH2, MSH6 and PMS2). Data were divided as initial tumors, first and subsequent recurrences, and tumors that relapsed within nine months of previous surgery or later. The IHC markers were semiquantitatively classified into four groups, as follows: 0 means no positive cells; 1, 10% of positive cells; 2, 11%-30% of positive cells; and 3, 31%-100% of positive cells. In predicting the overall number of recurrences, as a surrogate marker of tumor biology, the R

Indexed as

Biomarkers, TumorUrinary Bladder NeoplasmsAgedAged, 80 and overErbB ReceptorsFemaleHumansKi-67 AntigenMaleMiddle AgedMismatch Repair Endonuclease PMS2MutS Homolog 2 ProteinBiomarkers, TumorErbB ReceptorsKi-67 AntigenMismatch Repair Endonuclease PMS2MutS Homolog 2 ProteinEGFRHER2ImmunohistochemistryKi-67Lynch markersTumor biologyUrinary bladder carcinoma

Identifiers

PMID36818940
PMCPMC9934041
OpenAlexW4319440899

What OpenQuestion holds

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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.