Evidence map›Paper›PMID 39546106›Full record

ArticleAnnals of surgical oncology2025

Modified Textbook Outcome was a Predictor for Early Mortality After Oral Cancer Surgery.

Ling-Jan Chiou, Ching-Chih Lee

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Article in Annals of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Textbook Outcome After Oral Cancer Surgery as a Composite Measure for Survival and Quality-of-Care Evaluation.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2025
    Article
  2. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Ling-Jan ChiouDepartment of Healthcare Administration, Asia University, Taichung, Taiwan, R.O.C.
Ching-Chih LeeDepartment of Otolaryngology, Head and Neck Surgery, Kaohsiung Veterans General Hospital, Kaohsiung City, Taiwan, R.O.C.. enttcd@hotmail.com.

Funding

Kaohsiung Veterans General Hospital KSVGH111-D09-1Kaohsiung Veterans General Hospital KSVGH112-D02-1
6 · The paper itself

Abstract

backgroundTo explore prognostic factors for early mortality among patients undergoing surgery for oral cavity cancer (OCC) and identify valuable strategies to improve patient outcomes. PATIENTS AND

methodsA total of 397 patients treated by primary tumor resection and neck dissection between 2017 and 2021 were retrospectively analyzed. Univariate and multivariate Cox regression analysis were used to explore the relationships between the study factors and early death (within 12 months). Predictors were further incorporated into a nomogram for estimation of 1-year overall survival (OS).

resultsThe mean age was 57.2 (SD, 9.8) years and 92.9% patients were male. The early death rate was 12.6% overall, 35.6% in patients with pN2-3, 22.3% in patients with tumor size > 3 cm, and 36.2% in patients with lymphovascular invasion. A non-modified textbook outcome (mTO), pN2-3, tumor size > 3 cm, and lymphovascular permeation were independent prognosticators for early mortality. A nomogram with the above-mentioned four factors were created with good discrimination and calibration. Among the pN2-3 or tumor size > 3 cm subgroup, a non-mTO, cancer resource center (CRC) visits, perineural invasion, and lymphovascular permeation were independent prognostic factors for early death.

conclusionsIn addition to traditional clinicopathological features, a non-mTO and CRC visits could serve as prognostic factors for early death in OCC. A novel nomogram had good discrimination and calibration. Quality improvements in terms of mTO and patients demanding resource support could improve survival outcomes in OCC.

Indexed as

Mouth NeoplasmsAgedCarcinoma, Squamous CellFemaleFollow-Up StudiesHumansMaleMiddle AgedNeck DissectionNeoplasm InvasivenessNomogramsPrognosisRetrospective StudiesSurvival RateEarly deathOral cancerSurvival

Identifiers

PMID39546106

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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.