Evidence map›Paper›PMID 35317298›Full record

ArticleJournal of clinical and experimental dentistry2022

Severe infections after teeth removal - are we doing enough in preventing them?

Niina Rautaporras, Johanna Uittamo, Jussi Furuholm, Johanna Snäll

Open access · diamondAbstract read
In one paragraph

Article in Journal of clinical and experimental dentistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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 2 institutions in 1 country.

Niina RautaporrasDDS, Department of Oral and Maxillofacial Diseases, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Johanna UittamoMD, DDS, PhD, Department of Oral and Maxillofacial Diseases, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Jussi FuruholmDDS, Department of Oral and Maxillofacial Diseases, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Johanna SnällMD, DDS, PhD, Department of Oral and Maxillofacial Diseases, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Helsinki University Hospital · FIUniversity of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The present study clarified features and prehospital care in patients with severe infection after teeth removal. Material and Methods: Patients who were hospitalized for infection following teeth removal were included in this study. Background variables and infection severity parameters were compared between patients who underwent elective and acute teeth removal prior to hospitalization. Additionally, associations of these variables with antibiotic use were evaluated. Results: Of the 118 patients included in the study, teeth removal was due to acute infection in 64% and removal was elective in 36%. The time span from teeth removal to hospitalization varied considerably (from <1 day to 205 days). The variation was significantly greater in patients with preceding acute removal than those with elective removal ( Conclusions: Severe infection can develop with a long delay after acute teeth removal. More attention should be paid to preceding symptoms and early effective treatment of these infections. A more precise timing of antibiotic use could reduce severe postoperative infections in elective teeth removal.

Identifiers

PMID35317298
PMCPMC8916597
OpenAlexW4214530359

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.