Evidence map›Paper›PMID 36695908›Full record

ArticleEuropean archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery2023

A population-based model identifying optimal candidate for primary tumor resection in distant metastatic laryngeal carcinoma.

Xiaobin Liu, Peng Lin, Wen Shen, Yining Yang

Abstract read
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In one paragraph

Article in European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery, 2023. 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
0.3field-weighted citation impact, top 42% 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, 1 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.

Xiaobin LiuDepartment of Radiology, Tianjin Medical Imaging Institute, Tianjin First Central Hospital, School of Medicine, Nankai University, No. 24 Fukang Road, Nankai District, Tianjin, 300192, China.ORCID http://orcid.org/0000-0002-1789-9660
Peng LinDepartment of Otorhinolaryngology Head and Neck Surgery, Tianjin First Central Hospital, School of Medicine, Nankai University, No. 24 Fukang Road, Nankai District, Tianjin, 300192, China.
Wen Shen *Department of Radiology, Tianjin Medical Imaging Institute, Tianjin First Central Hospital, School of Medicine, Nankai University, No. 24 Fukang Road, Nankai District, Tianjin, 300192, China.
Yining Yang *Department of Radiotherapy, Tianjin First Central Hospital, School of Medicine, Nankai University, No. 24 Fukang Road, Nankai District, Tianjin, 300192, China. yining_yang_yzx@163.com.ORCID http://orcid.org/0000-0002-6231-8298
Nankai University · CN

Funding

Innovative Research Group Project of the National Natural Science Foundation of China 81671657
6 · The paper itself

Abstract

purposeTo developed a model to screen distant metastatic laryngeal carcinoma (DMLC) patients who would benefit from the primary tumor resection.

methodsThe propensity score matching (PSM) was utilized to avoid disproportionate distributions of the confounding factors. We hypothesized that patients who underwent surgery would benefit from surgery by having a longer median cancer-specific survival (CSS) than patients without surgery. Multivariable Cox model was used to explore the independent factors of CSS and overall survival (OS) among PSM population. We used these factors to construct a nomogram to identify surgery benefit patients. The predictive performance and clinical practicability of the nomogram were determined by area under the curve (AUC), calibration curve, and decision curve.

resultsThe CSS and OS for patients who received primary tumor resection were significantly longer than those without resection (median CSS: 19 months vs. 10 months, P = 0.009; median OS: 21 months vs. 10 months, P = 0.001). The nomogram displayed a good degree of discrimination and calibration. The mean AUC of the nomogram was 0.70 (95% confidence interval [CI] 0.66-0.76) through threefold cross-validation.

conclusionsA predictive model was established and might be used to screen the optimal candidates for primary tumor surgery in DMLC patients.

Indexed as

CarcinomaLaryngeal NeoplasmsArea Under CurveHumansNomogramsPropensity ScoreDistant metastaticLaryngeal carcinomaPrimary tumor resectionPropensity score matchingSEER database

Identifiers

PMID36695908
OpenAlexW4317888387

What OpenQuestion holds

Textmetadata
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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.