Evidence map›Paper›PMID 30367100›Full record

ArticleScientific reports2018

Predicting malignant progression in clinically high-risk lesions by DNA ploidy analysis and dysplasia grading.

Zuraiza Mohamad Zaini, Helen McParland, Henrik Møller, Kate Husband, Edward W Odell

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Predicting Malignant Transformation in Oral Epithelial Dysplasia: A Systematic Comparison of Artificial Intelligence-Based Risk Models and Pathologist-Based Microscopy.Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology · 2026
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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 1 institution in 2 countries.

Zuraiza Mohamad ZainiHead and Neck Pathology, King's College London, Guy's Hospital, London, SE1 9RT, United Kingdom. zuraiza@um.edu.my.ORCID http://orcid.org/0000-0002-9160-9625
Helen McParlandDepartment of Oral Medicine, Guy's and St Thomas' NHS Foundation Trust, Guy's Hospital, London, SE1 9RT, United Kingdom.
Henrik MøllerSchool of Cancer and Pharmaceutical Sciences, King's College London, Guy's Hospital, London, SE1 9RT, United Kingdom.
Kate HusbandDepartment of Oral Medicine, Guy's and St Thomas' NHS Foundation Trust, Guy's Hospital, London, SE1 9RT, United Kingdom.
Edward W OdellHead and Neck Pathology, King's College London, Guy's Hospital, London, SE1 9RT, United Kingdom.
Guy's Hospital · GB

Funding

Ministry of Higher Education, Malaysia (MOHE) KPT(BS)740612086532
6 · The paper itself

Abstract

The value of image cytometry DNA ploidy analysis and dysplasia grading to predict malignant transformation has been determined in oral lesions considered to be at 'high' risk on the basis of clinical information and biopsy result. 10-year follow up data for 259 sequential patients with oral lesions clinically at 'high' risk of malignant transformation were matched to cancer registry and local pathology database records of malignant outcomes, ploidy result and histological dysplasia grade. In multivariate analysis (n = 228 patients), 24 developed carcinoma and of these, 14 prior biopsy samples were aneuploid. Aneuploidy was a significant predictor (hazard ratio 7.92; 95% CI 3.45, 18.17) compared with diploidy (p < 0.001). The positive predictive value (PPV) for severe dysplasia was 50% (95% CI 31.5, 68.5) and for aneuploid lesions, 33.3% (95% CI 19.0, 47.6). Combined DNA aneuploidy and severe dysplasia increased PPV to 56.3% (95% CI 31.9, 80.6). Diploid-tetraploid and non-dysplastic status had high negative predictive values (NPV) of 94.6% (95% CI 91.4, 97.8) and 99.17% (95% CI 97.4, 100.8) respectively. DNA ploidy predicts malignant transformation well and combining it with dysplasia grading gave the highest predictive value. The predictive values reported here exceed those from other investigations to date.

Indexed as

AneuploidyAdultAgedCell Transformation, NeoplasticDiploidyDisease ProgressionDNA, NeoplasmFemaleFollow-Up StudiesHumansHyperplasiaMaleMiddle AgedMouthMouth NeoplasmsPrecancerous ConditionsDNA, Neoplasm

Identifiers

PMID30367100
PMCPMC6203726
OpenAlexW2897799364

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.