Evidence map›Paper›PMID 27444598›Full record

ArticleBritish dental journal2016

Review of never and serious events related to dentistry 2005-2014.

T Renton, W Sabbah

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Article in British dental journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Note bloat.British dental journal · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Patient safety: Complication or never event?British dental journal · 2016
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

T RentonDepartment Dental Public Health.
W SabbahDepartment of Oral Surgery, Kings College London.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims To review never and serious events related to dentistry between 2005-2014 in England.Methods Data from the National Reporting and Learning System (NRLS), with agreed data protection and intelligence governance, was used - snapshot view using the timeframe January 2005 to May 2014. The Strategic Executive Information System (STEIS) database was reported separately for 2012-2013 and 2013-2014. The free text elements from the database were analysed thematically and reclassified according to the nature of the patient safety incident (PSI).Results From the NRLS dataset, 32,263 patient safety events were reported between 1 January 2005 and 30 May 2014. Never events (NEs) from STEIS files were all wrong site extractions (WSS), reported separately for 2012-2013 and 2013-2014. The total number was 43.36 of the 43 PSIs were WSS involving: multiple extractions and bimodal age distribution (very young or over 60 years). Forty-seven percent of never events resulted in no harm, 20% low harm, 7% moderate harm, less than 1% severe harm and 23 deaths over this period (five of which were not related to dentistry). Serious harm and death risk factors included: care in an acute trust ward, peri oncological, reconstructive surgery (OMFS), patient age over 67 years with concurrent medical complexity (Ischaemic heart disease). Sixty percent of PSIs occurred in OS/OMFS in acute trust inpatients and 20% in primary care. From STEIS 2012-2013, 21 WSS were reported of which 50% occurred in oral surgery (OS) or oral and maxillofacial surgery (OMFS). The reported sites were 45% in operating theatre and 42% in dental surgery.Conclusion Incidences of iatrogenic harm to dental patients do occur but their reporting is not widely carried out. Improved awareness and training, simplifying the reporting systems improved non-punitive support by regulators would allow the improvement of patient safety in dental practise.

Indexed as

Dental CareMedical ErrorsPatient SafetyEnglandHospitalsHumansRetrospective Studies

Identifiers

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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.