Evidence map›Paper›PMID 38544774›Full record

ArticleJournal of dentistry (Shiraz, Iran)2024

Jaw Fibro-Osseous Lesions: Use of a Predictive Index in Grading Probable Malignant Changes and a Review of Cases.

Akindayo Olufunto Akinyamoju, Seyi John Akinloye, Robinson Obos Okiti, Bukola Folasade Adeyemi

Open access · greenAbstract read
In one paragraph

Article in Journal of dentistry (Shiraz, Iran), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
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.

Akindayo Olufunto AkinyamojuDept. of Oral Pathology, University of Ibadan, University College Hospital, Ibadan, Oyo State, Nigeria.
Seyi John AkinloyeDept. of Oral Pathology, University College Hospital, Ibadan, Oyo State, Nigeria.
Robinson Obos OkitiDept. of Oral Pathology, University College Hospital, Ibadan, Oyo State, Nigeria.
Bukola Folasade AdeyemiDept. of Oral Pathology, University of Ibadan, University College Hospital, Ibadan, Oyo State, Nigeria.
University College Hospital, Ibadan · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Statement of the Problem: Fibro-osseous lesions (FLs), may rarely exhibit malignant features likewise undergo malignant transformation. Awareness of these features can assist in screening for potentially malignant cases and identifying low-grade central osteogenic sarcoma (LGCOS) that may mimic FLs. Purpose: The objective of this study was to determine the usability of an index in predicting malignant changes in jaw FLs. Materials and Method: This was a retrospective study where hematoxylin and eosin (H&E) slides and archival records of fibrous dysplasia (FD) and ossifying fibroma (OF) cases were reviewed. The sections were assessed for permeation of marrow spaces, stromal growth pattern, cytologic atypia, mitotic activity, and pattern of bone growth, which are parameters for diagnosing LGCOS. The predictive histologic index of malignancy (PHIM) was determined by a sum of the scores and graded as 0=nil, 1=low, 2 & 3=moderate, and 4 & 5=high. Data were presented using descriptive analysis. Results: Ninety-three cases of FLs met the inclusion criteria, consisting of 40(43%) cases of FD and 53(57%) cases of OF. The peak age of presentation for FD and OF was 2 Conclusion: The PHIM depicted low to moderate malignancy grade in some of the cases studied. Follow up studies would be necessary to assess the PHIM.

Indexed as

Fibro-osseous neoplasmsGradingMalignancyOsteogenic SarcomaPredictive

Identifiers

PMID38544774
PMCPMC10963869
OpenAlexW4394762549

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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.