Evidence map›Paper›PMID 31930772›Full record

ArticleHead & neck2020

Clincopathological characteristics and treatment outcomes of oral leukoplakia by carbon dioxide laser excision in the elderly patients.

Shih-Wei Yang, Yun-Shien Lee, Liang-Che Chang, Cheng-Cheng Hwang, Tai-An Chen

Open access · hybridAbstract read
In one paragraph

Article in Head & neck, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Shih-Wei YangDepartment of Otolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital, Keelung, Taiwan, ROC.ORCID 0000-0002-0979-7912
Yun-Shien LeeGenomic Medicine Research Core Laboratory, Chang Gung Memorial Hospital, Tao-Yuan, Taiwan, ROC.
Liang-Che ChangCollege of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC.
Cheng-Cheng HwangCollege of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC.
Tai-An ChenDepartment of Otolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital, Keelung, Taiwan, ROC.
Chang Gung University · TWMing Chuan University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOlder age is one of the factors associated with malignant transformation of oral leukoplakia (OL). The purpose of this study is to analyze the clincopathological features and treatment outcomes of OL in the elderly patients.

methodsThe demographic data and histopathological results of the patients (age ≥ 65) who received carbon dioxide laser surgery for OL from 2002 to 2017 were analyzed statistically.

resultsThere were 53 males and 16 females, with a mean age 71.2 ± 4.9. The follow-up time was 42.5 ± 35.2 months. In the univariate analysis, morphology, pathology, and area were found to be factors associated with postoperative recurrence. Among these factors, pathology and area were the independent predictive factors for recurrence in the multivariate logistic regression model. Malignant transformation occurred in 8 of 69 patients (11.6%).

conclusionsThe pathological high-risk dysplasia and area of OL were the two prognostic factors for postoperative recurrence.

Indexed as

Lasers, GasAgedCell Transformation, NeoplasticFemaleHumansLeukoplakia, OralMaleNeoplasm Recurrence, LocalRetrospective StudiesTreatment Outcomeelderlylasermalignant transformationoral leukoplakiarecurrence

Identifiers

PMID31930772
PMCPMC7216872
OpenAlexW2999981707

What OpenQuestion holds

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LicenceCC BY
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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.