Evidence map›Paper›PMID 39449874›Full record

ReviewCureus2024

Evidence-Based Critical Assessment of the Success Rate of Dental Implants in Smokers: An Umbrella Systematic Review.

Ujjaini Banerjee, Pankaj Dhawan, Sapna Rani, Neha Jain

Abstract readReview
In one paragraph

Review in Cureus, 2024. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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.

Ujjaini BanerjeeDepartment of Prosthodontics, Manav Rachna Dental College, Faridabad, IND.
Pankaj DhawanDepartment of Prosthodontics, Manav Rachna Dental College, Faridabad, IND.
Sapna RaniDepartment of Prosthodontics, Manav Rachna Dental College, Faridabad, IND.
Neha JainDepartment of Prosthodontics, Manav Rachna Dental College, Faridabad, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this umbrella systematic review is to evaluate the success rate and osseointegration of dental implants in patients with a smoking habit. Electronic database searches of PubMed/Medline, Google Scholar, ScienceDirect, Cochrane Library, and EBSCOhost were done from 2006 until August 2024, using medical subject headings (MeSH) terms. Systematic reviews and meta-analyses (SRMAs) investigating the association between smoking and the rate of success of dental implants based on dental implant failure, marginal bone loss, survival, and peri-implant parameters were deemed eligible. The Assessment of Multiple Systematic Reviews Tool 2 (AMSTAR 2) was used to assess the quality of the included SRMAs. Seventeen systematic reviews have been included. In the reviews, 10 studies included meta-analyses (MAs) that evaluated implant failure rate and marginal bone loss. According to the AMSTAR 2 checklist, one review was scored "high," seven reviews were scored "moderate," seven reviews were scored "low," and two reviews were scored "critically low" quality. The strength of evidence suggests a low level of success and high rate of failure of osseointegration of dental implants in smokers. However, the influence of smoking on the rate of dental implant failure seems to be associated with various factors such as peri-implant inflammatory markers, post-operative infections, etc. Inherently, the conclusion of this review is based on a limited number of systematic reviews.

Indexed as

dental implantsimplant failuremarginal bone lossmeta-analysisosseointegrationsmokingsystematic review

Identifiers

PMID39449874
PMCPMC11499893

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.