Evidence map›Paper›PMID 34211554›Full record

ArticleInternational journal of dentistry2021

Prevalence of Postoperative Infection after Tooth Extraction: A Retrospective Study.

Elaine Kueh Yue Yi, Annabelle Lai Siew Ying, Mandakini Mohan, Rohit Kunnath Menon

Open access · goldAbstract read
In one paragraph

Article in International journal of dentistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 29 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Injectable bioactive scaffold able to stimulate oral bone regeneration on demand.Journal of materials science. Materials in medicine · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. 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

4 authors at 1 institution in 1 country.

Elaine Kueh Yue YiSchool of Dentistry, International Medical University, Kuala Lumpur 57000, Malaysia.
Annabelle Lai Siew YingSchool of Dentistry, International Medical University, Kuala Lumpur 57000, Malaysia.
Mandakini MohanClinical Dentistry, School of Dentistry, International Medical University, Kuala Lumpur 57000, Malaysia.
Rohit Kunnath MenonClinical Dentistry, School of Dentistry, International Medical University, Kuala Lumpur 57000, Malaysia.ORCID https://orcid.org/0000-0002-7486-8721
IMU University · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the study was to identify the postoperative infection rates after tooth extraction in a university dental clinic and to identify the factors associated with an increased risk for postoperative infection. A retrospective study of case records of patients who underwent tooth extractions at the International Medical University's Oral Health Centre (IMU-OHC) over a span of 6 years was conducted. Data on demography, patient-related factors, and treatment-related factors were extracted from the case records. A binary logistic regression analysis was performed to assess the odds ratio of a patient having a postoperative infection or not, comparing it with each variable. A total of 1821 extractions, including simple and complex extractions, were performed over 6 years. Only 25 (1.4%) of the cases were reported to have a postoperative infection. The complexity of the extraction was the only variable that significantly affected the occurrence of postoperative infection after extraction; more complex extractions were reported with higher rates of infection (binary logistic regression, OR = 2.03,

Identifiers

PMID34211554
PMCPMC8208874
OpenAlexW3172229203

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.