Evidence map›Paper›PMID 26114788›Full record

ArticleEvidence-based dentistry2015

Low level laser therapy may reduce risk of oral mucositis.

Silvia Spivakovsky

Open access · bronzeAbstract readComment
PubMed Publisher
In one paragraph

Article in Evidence-based dentistry, 2015. 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
0.5field-weighted citation impact, top 32% 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, 6 citations in OpenAlex.

  1. Trial
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Silvia SpivakovskyNYU College of Dentistry, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

data sourcesMedline, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), CINHAL, Web of Science, Scopus, LILACS, Conference proceedings of the International Society of Paediatric Oncology, American Society of Clinical Oncology, American Society of Hematology, American Society of Pediatric Hematology and Oncology, and Multinational Association of Supportive Care in Cancer and the reference lists of identified studies. STUDY SELECTION: Two reviewers independently selected studies for inclusion with randomised controlled trials (RCTs) and quasi-RCTs being considered. DATA EXTRACTION AND SYNTHESIS: Data were extracted using a specifically developed form and study quality was assessed using the Cochrane risk of bias tool. Dichotomous outcomes data were synthesised using the risk ratio (RR) and 95% confidence interval (CI). Continuous outcomes measured using different scales were synthesised using the standardised mean difference (SMD) while those using the same scale were synthesised using the weighted mean difference (WMD).

resultsEighteen RCTs involving 1144 patients were included. Four trials were considered to be at low risk of bias across all domains. Prophylactic LLLT reduced the overall risk of severe mucositis (risk ratio (RR) 0.37, 95% confidence interval (CI) 0.20 to 0.67; P = 0.001). Compared to placebo/no therapy LLLT also reduced the following outcomes; severe mucositis at the time of anticipated maximal mucositis RR = 0.34, (95% CI; 0.20 to 0.59); overall mean grade of mucositis SMD -1.49, (95% CI; -2.02 to -0.95); duration of severe mucositis WMD -5.32, 95% (CI; -9.45 to -1.19) and incidence of severe pain (RR 0.26, 95% CI; 0.18 to 0.37).

conclusionsProphylactic LLLT reduced severe mucositis and pain in patients with cancer and HSCT recipients. Future research should identify the optimal characteristics of LLLT and determine feasibility in the clinical setting.

Indexed as

HumansLow-Level Light TherapyStomatitis

Identifiers

PMID26114788
OpenAlexW1565756475

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.