Evidence map›Paper›PMID 36110744›Full record

ArticleJournal of pharmacy & bioallied sciences2022

An

Sunil Kumar Vaddamanu, Rajesh Vyas, Kumari Kavita, R Sushma, R Padmini Rani, Arti Dixit, Bhumika Kamal Badiyani

Open access · goldAbstract read
In one paragraph

Article in Journal of pharmacy & bioallied sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
0.7field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. 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

7 authors at 4 institutions in 2 countries.

Sunil Kumar VaddamanuDepartment of Dental Technology, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.
Rajesh VyasDepartment of Dental Technology, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.
Kumari KavitaDepartment of Dentistry, NMCH, Patna, Bihar, India.
R SushmaDepartment of Prosthodontics, School of Dental Sciences, Krishna Institute of Medical Sciences "Deemed to be University (KIMSDU), Maharashtra, India.
R Padmini RaniMDS Prosthodontics KIDS, KIIT University, Bhubaneswar Odisha, Phd Scholar in Prosthodontics and Crown and Bridge, KIIT University Bhubaneswar Odisha Senior Resident, SCB Dental College and Hospital, Cuttack, Odisha, India.
Arti DixitReader, Department of Public Health Dentistry, Vaidik Dental College & Research Centre, Daman, Daman & Diu, India.
Bhumika Kamal BadiyaniDepartment of Public Health Dentistry, MDS Public Health Dentistry, Mumbai, Maharashtra, India.
King Khalid University · SAKIIT University · INKrishna Institute of Medical Sciences Deemed University · INNalanda Medical College and Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Periodontal and peri-implant disorders are etiologically linked to bacterial biofilms. The researchers wanted to see how well the erbium-doped yttrium aluminum garnet (Er:YAG) laser removed bacterial biofilms along with attached epithelial cells (EC), gingival fibroblasts (GF), in addition to osteoblast-like cells (OC) dentin along with titanium surfaces compared to previous therapy methods. Methodology: 3.5 days were spent growing bacterial biofilms on standardized dentin and also titanium samplings using a sand-blasted along with the acid-etched surface. Following that, the specimens were positioned into pockets that had been formed artificially. The following approaches were used to remove biofilm: (1) Er:YAG, (2) photodynamic therapy (PDT), and (3) curette (CUR) along with supplementary PDT (CUR/PDT). The remaining biofilms' colony forming units (CFUs) were determined, as well as the attachment of EC, GF, in addition to OC. Analysis of variance with a posthoc least significant difference was utilized in the statistical analysis. Results: When compared to untreated dentin and titanium surfaces, all therapy strategies reduced total CFUs in statistically significant biofilms ( Conclusion: The usage of Er:YAG laser to ablate subgingival biofilms and, specifically, to decontaminate titanium implant surfaces appears to be a promising strategy that needs further research.

Indexed as

Biofilmdental implantEr:YAG laserperiodontal and peri-implant diseases

Identifiers

PMID36110744
PMCPMC9469357
OpenAlexW4285287731

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.