Evidence map›Paper›PMID 35740287›Full record

ArticleBiomedicines2022

The Role of Salvage in the Management of Patients with Sinonasal Squamous Cell Carcinoma.

Urszula Kacorzyk, Tomasz Wojciech Rutkowski

Abstract read
In one paragraph

Article in Biomedicines, 2022. 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. Role of Radiomics to Predict Disease Recurrence in Sinonasal Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis.Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery · 2026
    Pooled it
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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

2 authors.

Urszula KacorzykMaria Sklodowska-Curie National Research Institute of Oncology Gliwice Branch, ul. Wybrzeże Armii Krajowej 15, 44-101 Gliwice, Poland.ORCID 0000-0003-4627-6531
Tomasz Wojciech RutkowskiMaria Sklodowska-Curie National Research Institute of Oncology Gliwice Branch, ul. Wybrzeże Armii Krajowej 15, 44-101 Gliwice, Poland.ORCID 0000-0003-2735-5664

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis paper presents and discusses the rate and outcome of salvage according to various factors for patients with sinonasal squamous cell carcinoma (SNSCC).

methodsData of 79 patients treated radically due to SNSCC between 2000 and 2016 in the National Cancer Research Institute, Gliwice branch, were analyzed. Surgery was the primary treatment in 63 (79%) of patients. The ratio, type, and effectiveness of salvage was assessed and correlated with prognostic factors. Probabilities of overall survival (OS), local control (LC), nodal control (NC), and locoregional control (LRC) were assessed and compared between the groups.

resultsThe 5-year LC, NC, and LRC survival rates were 62%, 75%, and 53%, respectively. The 5-year OS rate was 51%. In 34 (43%) patients, treatment failure was reported, and salvage was performed in 17 (50%) of them. It was shown that patients after any salvage had significantly longer 2- and 3-year OS rates when compared to patients with no salvage: 52% vs. 7% and 38% vs. 0%, respectively (

conclusionsFor SNSCC patients after treatment failure, salvage is possible in half of the cases and can improve their overall survival even if not finally successful. Moreover, effective salvage can compensate for the failure and give the same ultimate OS as in primarily cured patients.

Indexed as

salvagesinonasal squamous cell carcinoma

Identifiers

PMID35740287
PMCPMC9220057

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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.