Evidence map›Paper›PMID 36526833›Full record

ArticleEvidence-based dentistry2022

'Cold is gold'? The diagnostic accuracy of sensibility and vitality testing techniques.

Mohammed Adam

Abstract readComment
PubMed Publisher
In one paragraph

Article in Evidence-based dentistry, 2022. 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
1.5field-weighted citation impact, top 18% 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, 8 citations in OpenAlex.

  1. Trial
  2. Experts consensus on management of tooth luxation and avulsion.International journal of oral science · 2024
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Mohammed AdamDental Core Trainee, East Lancs NHS Hospital Trust, UK.
East Lancashire Hospitals NHS Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Data sources Medline, Web of Science and the Cochrane Central Register of Controlled Trials databases along with Google Scholar, Greylist and OpenGrey were systematically searched (up to December 2020).Study selection In vivo observational studies and clinical trials assessing the diagnostic accuracy of pulp vitality tests and sensibility tests in adult human teeth were screened. Exclusion criteria included non-English articles, deciduous teeth, case reports and in vitro studies.Data extraction and synthesis Data extracted included basic study location, sample size, age of participants, pathology of teeth, type of teeth and the vitality (pulse oximetry or Laser Doppler flowmetry) or sensibility test (cold, hot and electric pulp testing) used. Measures of diagnostic accuracy were synthesised (sensitivity, sensibility, predictive values, and likelihood ratios). Meta-analysis was performed using a bivariate random-effects model producing summary values for sensitivity and specificity. Results were presented as a ROC curve. Risk of bias and the quality of the studies were assessed using the QUADAS-2 tool.Results A total of ten studies were included in the review, of which five were included in the meta-analysis. Overall risk of bias was unclear. Pulse oximetry showed higher diagnostic accuracy than electric pulp testing and thermal testing. Insufficient data precluded quantitative analysis for Laser Doppler flowmetry.Conclusions Pulse oximetry demonstrates greater diagnostic accuracy when compared to sensibility testing. Limited sample size and heterogeneity among the included studies limits their applicability.

Indexed as

Dental Pulp TestAdultDental PulpDentition, PermanentHumansLaser-Doppler FlowmetryMeta-Analysis as TopicSensitivity and SpecificitySystematic Reviews as Topic

Identifiers

PMID36526833
OpenAlexW4312066662

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.