Evidence map›Paper›PMID 29750091›Full record

ArticleJournal of clinical and experimental dentistry2018

A pragmatic evidence-based clinical management algorithm for burning mouth syndrome.

Yohanan Kim, Timothy Yoo, Peter Han, Yuan Liu, Jared C Inman

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical and experimental dentistry, 2018. 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
1.0field-weighted citation impact, top 25% 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, 13 citations in OpenAlex.

  1. Review
  2. Review
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 2 institutions in 1 country.

Yohanan KimMD, Department of Otolaryngology - Head and Neck Surgery, Loma Linda University Medical Center, Loma Linda, CA, USA.
Timothy YooBS, Loma Linda University School of Medicine, Loma Linda, CA, USA.
Peter HanMD, Department of Otolaryngology - Head and Neck Surgery, Loma Linda University Medical Center, Loma Linda, CA, USA.
Yuan LiuMD, Department of Otolaryngology - Head and Neck Surgery, Loma Linda University Medical Center, Loma Linda, CA, USA.
Jared C InmanMD, Department of Otolaryngology - Head and Neck Surgery, Loma Linda University Medical Center, Loma Linda, CA, USA.
Loma Linda University · USLoma Linda University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBurning mouth syndrome is a poorly understood disease process with no current standard of treatment. The goal of this article is to provide an evidence-based, practical, clinical algorithm as a guideline for the treatment of burning mouth syndrome. MATERIAL AND

methodsUsing available evidence and clinical experience, a multi-step management algorithm was developed. A retrospective cohort study was then performed, following STROBE statement guidelines, comparing outcomes of patients who were managed using the algorithm and those who were managed without.

resultsForty-seven patients were included in the study, with 21 (45%) managed using the algorithm and 26 (55%) managed without. The mean age overall was 60.4 ±16.5 years, and most patients (39, 83%) were female. Cohorts showed no statistical difference in age, sex, overall follow-up time, dysgeusia, geographic tongue, or psychiatric disorder; xerostomia, however, was significantly different, skewed toward the algorithm group. Significantly more non-algorithm patients did not continue care (69% vs. 29%,

conclusionsWe present a basic clinical management algorithm for burning mouth syndrome which may increase the likelihood of pain improvement and patient follow-up.

Identifiers

PMID29750091
PMCPMC5937967
OpenAlexW2795034305

What OpenQuestion holds

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LicenceCC BY
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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.