Evidence map›Paper›PMID 42247473›Full record

ArticlePloS one2026

Facial soft tissue thicknesses of Azerbaijan adult population: CT study.

Nigar Sultanova, Rasim Bayramov, Narmin Maharammova

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Nigar SultanovaDepartment of Oral and Maxillofacial Surgery, Azerbaijan Medical University, Baku, Azerbaijan.ORCID https://orcid.org/0009-0008-5118-6964
Rasim BayramovDepartment of Radiology, Azerbaijan Medical University, Baku, Azerbaijan.
Narmin MaharammovaDepartment of Radiology, Azerbaijan Medical University, Baku, Azerbaijan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to create a facial soft tissue thicknesses database of Azerbaijan adult population and find relation between FSTT and sex, age, body mass index (BMI). The study investigates the FSTT on 300 CT scans of living inviduals of three age groups: I, 18-25 years old; II, 26-45 years old; and III, 46 years and older. The CT images of the patients were divided into two groups according to BMI. The soft tissue thicknesses were measured at 20 landmarks, 10 along the midline and 10 bilateral. The mean, standard deviations, range, median for each anthropometric landmark were determined, and differences related to age, sex, BMI were calculated. This article presents the first database of facial soft tissues thicknesses of Transcaucasia populations.

Indexed as

FaceTomography, X-Ray ComputedAdolescentAdultAzerbaijanBody Mass IndexFemaleHumansMaleMiddle AgedYoung Adult

Identifiers

PMID42247473
PMCPMC13241017

What OpenQuestion holds

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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.