Evidence map›Paper›PMID 28542622›Full record

SynthesisPloS one2017

Meta-analysis of magnetic resonance imaging accuracy for diagnosis of oral cancer.

Marcelo Aldrighi Moreira, Luiza Silveira Lessa, Francieli Regina Bortoli, Abigail Lopes, Eduardo Picolo Xavier, Renan Antonio Ceretta, Fernanda Guglielmi Faustini Sônego, Cristiane Damiani Tomasi, Patricia Duarte Simões Pires, Luciane Bisognin Ceretta and 2 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 2017. 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
1.1field-weighted citation impact, top 23% 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.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. 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

12 authors at 3 institutions in 1 country.

Marcelo Aldrighi MoreiraGraduate Program in Public Health (PPGSCol), Unidade Acadêmica de Ciências da Saúde (UNASAU), Universidade do Extremo Sul Catarinense (UNESC), Criciúma, SC, Brazil.
Luiza Silveira LessaGraduate Program in Public Health (PPGSCol), Unidade Acadêmica de Ciências da Saúde (UNASAU), Universidade do Extremo Sul Catarinense (UNESC), Criciúma, SC, Brazil.
Francieli Regina BortoliUniversidade Federal de Santa Catarina (UFSC), Florianópolis, SC, Brazil.
Abigail LopesGraduate Program in Public Health (PPGSCol), Unidade Acadêmica de Ciências da Saúde (UNASAU), Universidade do Extremo Sul Catarinense (UNESC), Criciúma, SC, Brazil.
Eduardo Picolo XavierLaboratory of Information and Communications Technology in Health (TISaude), Universidade do Extremo Sul Catarinense (UNESC), Criciúma, SC, Brazil.
Renan Antonio CerettaDentistry Course, Unidade Acadêmica de Ciências da Saúde (UNASAU), Universidade do Extremo Sul Catarinense (UNESC), Criciúma, SC, Brazil.
Fernanda Guglielmi Faustini SônegoDentistry Course, Unidade Acadêmica de Ciências da Saúde (UNASAU), Universidade do Extremo Sul Catarinense (UNESC), Criciúma, SC, Brazil.
Cristiane Damiani TomasiGraduate Program in Public Health (PPGSCol), Unidade Acadêmica de Ciências da Saúde (UNASAU), Universidade do Extremo Sul Catarinense (UNESC), Criciúma, SC, Brazil.
Patricia Duarte Simões PiresDentistry Course, Unidade Acadêmica de Ciências da Saúde (UNASAU), Universidade do Extremo Sul Catarinense (UNESC), Criciúma, SC, Brazil.
Luciane Bisognin CerettaGraduate Program in Public Health (PPGSCol), Unidade Acadêmica de Ciências da Saúde (UNASAU), Universidade do Extremo Sul Catarinense (UNESC), Criciúma, SC, Brazil.
Ingrid Dalira Schweigert PerryGraduate Program in Public Health (PPGSCol), Unidade Acadêmica de Ciências da Saúde (UNASAU), Universidade do Extremo Sul Catarinense (UNESC), Criciúma, SC, Brazil.
Priscyla Waleska SimõesGraduate Program in Public Health (PPGSCol), Unidade Acadêmica de Ciências da Saúde (UNASAU), Universidade do Extremo Sul Catarinense (UNESC), Criciúma, SC, Brazil.ORCID http://orcid.org/0000-0003-1782-0542
Universidade do Extremo Sul Catarinense · BRUniversidade Federal de Santa Catarina · BRUniversidade Federal do ABC · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo establish the diagnostic accuracy of magnetic resonance imaging (MRI) as an auxiliary means for the diagnosis of oral cancer through a systematic review and meta-analysis.

methodsAn exhaustive search of publications from 1986 to 2016 was performed of Medline, Embase and Cochrane (and related databases), including grey literature. Primary diagnostic accuracy studies that assessed oral cancer (target condition) using MRI (index test) were included. Diagnostic threshold, sensitivity and meta-regression analyses were performed. A meta-analysis was performed using Meta-DiSc® v. 1.4 software.

resultsA total of 24 primary studies were assessed, comprising 1,403 oral cancer lesions. Nine studies used diffusion-weighted MRI, with a diagnostic odds ratio (DOR) of 30.7 (95% confidence interval [CI]: 12.7-74.3) and area under the curve (AUC) of 0.917 (95% CI: 0.915-0.918); seven studies used dynamic contrast-enhanced MRI, with a DOR of 48.1 (95%CI: 22.4-103.2) and AUC of 0.936 (95% CI: 0.934-0.937); and 13 studies used traditional MRI, with a DOR of 23.9 (95%CI: 13.2-43.3) and AUC of 0.894 (95% CI: 0.894-0.895). Meta-regression analysis indicated that the magnetic field strength may have influenced the heterogeneity of the results obtained (p = 0.0233) using traditional MRI. Sensitivity analysis revealed a discrete reduction of inconsistency in some subgroups.

conclusionThe three types of MRI assessed exhibited satisfactory accuracy compared to biopsy. Considering the relevance of early treatment and screening and that better health care results in improved survival rates and quality of life for oral cancer patients, we suggest the use of MRI as a part of the pre-treatment and monitoring protocol at public health services.

Indexed as

Diagnostic ErrorsHumansMagnetic Resonance ImagingMouth NeoplasmsRegression AnalysisSensitivity and Specificity

Identifiers

PMID28542622
PMCPMC5443513
OpenAlexW2617609587

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.