ArticleBMJ open2025
Evaluating economic outcomes in the management of temporomandibular disorders: a protocol for a systematic review of randomised controlled trials.
Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Electroacupuncture for temporomandibular disorder-related pain: clinical evidence, mechanisms, and safety-a narrative review.Frontiers in pain research (Lausanne, Switzerland) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionSystematic reviews (SRs) on the management of temporomandibular disorders (TMDs) have predominantly focused on evaluating the effectiveness of various treatments, identifying those that provide the greatest benefits. However, the economic evaluation of these treatments has not been systematically explored. This SR aims to address this gap by evaluating the economic outcomes of the most common treatment modalities for TMDs, including cost-effectiveness, cost-utility, cost-benefit, cost-minimisation and the burden of illness. METHODS AND ANALYSIS: This SR will be conducted using the following electronic databases Business Source Complete, CINAHL, EconLit (ProQuest), Embase (Ovid), MEDLINE (PubMed), MEDLINE (Ovid) and Scopus to identify studies evaluating the economic outcomes of treatments for TMDs. The eligibility criteria are as follows: (1) studies examining the costs and/or impact of treatments for TMDs and (2) articles published between 2000 and 2025. The primary outcomes of interest are the economic findings outlined earlier. Data extraction will include the following: author(s), year of publication, country, study objectives, study design, eligibility criteria, TMD diagnosis and screening, study groups, randomisation, blinding, sample size, number of participants invited, enrolled and completed, duration of treatment, follow-up, study duration, settings, assessment instruments, study outcomes, statistical analyses, results, limitations, strengths and funding sources. The quality of studies will be evaluated using the Consolidated Health Economic Evaluation Reporting Standards 2022 checklist, with risk of bias assessed using the Cochrane Effective Practice and Organization of Care's risk-of-bias tool; where applicable, the Outcome Reporting Bias in Trials will be used to detect reporting biases. A narrative synthesis and summary tables will outline study characteristics, economic outcomes and the overall quality of evidence. We will conduct qualitative secondary and sensitivity analyses. ETHICS AND DISSEMINATION: This SR does not require an ethics approval. The results will be disseminated through international and national conferences and peer-reviewed journals. PROSPERO REGISTRATION NUMBER: CRD42024613553.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.