Evidence map›Paper›PMID 34057156›Full record

SynthesisThe Journal of forensic odonto-stomatology2021

Sex estimation by maxillary sinus using computed tomography: a systematic review.

M F Nunes Rocha, J G Dietrichkeit Pereira, R H Alves da Silva

Abstract readSystematic Review
In one paragraph

Synthesis in The Journal of forensic odonto-stomatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
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  5. 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.

M F Nunes RochaMedical School Ribeirão Preto, University of São Paulo - Brazil.
J G Dietrichkeit PereiraMedical School Ribeirão Preto, University of São Paulo - Brazil.
R H Alves da SilvaDepartment of Public Health, Stomatology and Forensic Odontology. School of Dentistry of Ribeirão Preto, University of São Paulo - Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sex estimation is an important part of forensic human identification, and when primary methods cannot be applied, forensic anthropology becomes an important auxiliary method of identification. The maxillary sinus may remain intact even if the skull is severely damaged and could thus be used in forensic investigations. The objective of this study was to verify the effectiveness of the evaluation of the maxillary sinus as a technique for sex estimation. Articles published in the past 10 years were searched using PubMed, Web of Science, Scopus, and Cochrane databases, including those that used computed tomography to perform maxillary sinus measurements with the purpose of sex estimation. Studies that used radiographs to perform the measurements were excluded because they do not allow for a three-dimensional analysis. Studies that did not provide information regarding the origin of the analyzed population were also excluded. The selected articles were evaluated for methodological quality according to the indication of the objective, studied population, inclusion and exclusion criteria, parameters for obtaining the computed tomography image, measurements evaluated, bias discussion, and ethical authorization. From the 52 articles found, 18 were included. The populations studied included Indians, Iraqis, Iranians, Egyptians, Brazilians, French, Dutch, and Turkish. Height, width, length, and volume of the maxillary sinus were measured. The maxillary sinus can act as an auxiliary tool for sex estimation in forensic investigations.

Indexed as

Cone-Beam Computed TomographyMaxillary SinusBrazilEgyptHumansIran

Identifiers

PMID34057156
PMCPMC8590850

What OpenQuestion holds

Textmetadata
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.