Evidence map›Paper›PMID 37510173›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Second-Line Treatment of Metastatic Renal Cell Carcinoma in the Era of Predictive Biomarkers.

Andreea Ioana Parosanu, Catalin Baston, Ioana Miruna Stanciu, Cristina Florina Parlog, Cornelia Nitipir

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
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  3. Article
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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

5 authors.

Andreea Ioana ParosanuDepartment of Medical Oncology, Elias Emergency University Hospital, 011461 Bucharest, Romania.
Catalin BastonDepartment of Urology, Fundeni Clinical Institute, 022328 Bucharest, Romania.
Ioana Miruna StanciuDepartment of Medical Oncology, Elias Emergency University Hospital, 011461 Bucharest, Romania.ORCID 0009-0003-5937-0778
Cristina Florina ParlogDepartment of Medical Oncology, Elias Emergency University Hospital, 011461 Bucharest, Romania.
Cornelia NitipirDepartment of Medical Oncology, Elias Emergency University Hospital, 011461 Bucharest, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOver the past few years, significant advancements have been achieved in the front-line treatment of metastatic renal cell carcinomas (mRCCs). However, most patients will eventually encounter disease progression during this front-line treatment and require further therapeutic options. While treatment choices for mRCCs patients are determined by established risk classification models, knowledge of prognostic factors in subsequent line therapy is essential in patient care.

methodsIn this retrospective, single-center study, patients diagnosed with mRCCs who experienced progression after first-line therapy were enrolled. Fifteen factors were analyzed for their prognostic impact on survival using the Kaplan-Meier method and the Cox proportional hazards model.

resultsPoor International Metastatic RCCs Database Consortium (IMDC) and Memorial Sloan-Kettering Cancer Center (MSKCC) risk scores, NLR value > 3, clinical benefit < 3 months from a therapeutic line, and the presence of sarcomatoid differentiation were found to be poor independent prognostic factors for shortened overall survival.

conclusionsThis study provided new insights into the identification of potential prognostic parameters for late-line treatment in mRCCs. The results indicated that good IMDC and MSKCC prognostic scores are effective in second-line therapy. Moreover, patients with NLR < 3, no sarcomatoid differentiation, and clinical benefit > 3 months experienced significantly longer overall survival.

Indexed as

late-line treatmentmRCCsprognostic factorsrisk classification

Identifiers

PMID37510173
PMCPMC10378702

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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.