Evidence map›Paper›PMID 33954908›Full record

Observational studyOral radiology2022

Place of a new radiological index in predicting pulp exposure before intervention for deep carious lesions.

Marie-Agnès Gasqui, Matthieu Pérard, Franck Decup, Paul Monsarrat, Yann-Loïg Turpin, Cyril Villat, François Gueyffier, Delphine Maucort-Boulch, Laurent Roche, Brigitte Grosgogeat

Registry-linked trialAbstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Oral radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04607395 (Pre-operative Radiograph of Deep Carious Lesions as a Predictive Tool for Pulpal Exposure.), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-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.

NCT04607395 completednot on this map

Pre-operative Radiograph of Deep Carious Lesions as a Predictive Tool for Pulpal Exposure.

TypeobservationalSponsorHospices Civils de LyonRan2015 to 2020Enrolled358ConditionsDeep CariesArmspre-operative radiograph
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Artificial Intelligence as a Decision-Making Tool in Forensic Dentistry: A Pilot Study with I3M.International journal of environmental research and public health · 2023
    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

10 authors at 4 institutions in 2 countries.

Marie-Agnès GasquiFaculté d'Odontologie, Université Claude Bernard Lyon 1, Université de Lyon, Lyon, France.
Matthieu PérardFaculté d'Odontologie, Université de Rennes 1, Rennes, France.
Franck DecupFaculté d'Odontologie, Université Paris Descartes, Montrouge, France.
Paul MonsarratFaculté d'Odontologie, Université Paul Sabatier, Toulouse, France.
Yann-Loïg TurpinFaculté d'Odontologie, Université de Rennes 1, Rennes, France.
Cyril VillatFaculté d'Odontologie, Université Claude Bernard Lyon 1, Université de Lyon, Lyon, France.
François GueyffierUniversité Claude Bernard Lyon 1, Université de Lyon, Lyon, France.
Delphine Maucort-BoulchUniversité Claude Bernard Lyon 1, Université de Lyon, Lyon, France.
Laurent RocheUniversité Claude Bernard Lyon 1, Université de Lyon, Lyon, France.
Brigitte GrosgogeatFaculté d'Odontologie, Université Claude Bernard Lyon 1, Université de Lyon, Lyon, France. brigitte.grosgogeat@univ-lyon1.fr.ORCID 0000-0003-2194-7300
Université Claude Bernard Lyon 1 · FRCentre National de la Recherche Scientifique · FRCentre Hospitalier Universitaire de Rennes · FRDélégation Paris 5 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring interventions for deep caries lesions without severe symptoms, preserving pulpal vitality is important to ensure treatment success, improve organ prognosis, and decrease cost-effectiveness. Current pre-operative radiographs allow visual estimation but not accurate measurement of lesion depth. PURPOSE: Investigate the ability of ratio 'remaining/total dentin thickness' (RDT/TDT, as determined on pre-operative radiographs) to predict pulp exposure during excavation.

methodsThis retrospective study (January 2018-June 2020) analyzed data on 360 patients. Four independent raters examined standard pre-operative radiographs and their contrasted versions. Lines put at the dentino-enamel junction, the floor of the carious lesion, and the pulp chamber wall allowed deriving RDT/TDT. Inter-rater agreements and concordance were assessed. A logistic regression accounting for measurement errors provided odds ratios that estimated the ability of the RDT/TDT to predict pulp exposure.

resultsThe median RDT/TDT ratio ranges were 16.8-26.5% on standard and 16.2-24.6% on contrasted radiographs. Inter-rater agreements on RDT/TDT were rather poor and inter-rater reliability was low and similar in standard and contrasted radiographs: the concordance correlation coefficients (95% CIs) were estimated at 0.46 (0.40; 0.51) and 0.46 (0.40; 0.52), respectively. The risk of pulp exposure increased by 2.5 times [odds ratio (95% CI) 2.57 (2.06; 3.20)] per 10-point decrease of the ratio on standard radiographs vs. 4.15 (3.15; 5.46) on contrasted radiographs.

conclusionRDT/TDT ratio is potentially helpful in predicting pulp exposure. However, the measurement errors on RDT and TDT being non-negligible and the interrater agreements poor, there is still place for advances through development of an automated process that will improve reliability and reproducibility of pulp exposure risk assessment. CLINICAL TRIAL: Trial registration number. ClinicalTrials.gov NCT04607395, October 29, 2020.

Indexed as

Dental CariesDentinHumansRadiographyReproducibility of ResultsRetrospective StudiesDental pulp exposureMeasurement accuracyObserver variationRadiographic image enhancementRadiography dental

Identifiers

PMID33954908
OpenAlexW3159778161

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.