Evidence map›Paper›PMID 38256586›Full record

ArticleJournal of clinical medicine2024

Hyaluronic Acid Treatment of Post-Extraction Tooth Socket Healing in Subjects with Diabetes Mellitus Type 2: A Randomized Split-Mouth Controlled Study.

Tiziana Ruggiero, Massimo Carossa, Davide Camisassa, Marta Bezzi, Giulia Rivetti, Vincenzo Nobile, Renato Pol

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Review
  6. 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.

Tiziana RuggieroC.I.R. Dental School, Department of Surgical Sciences, University of Turin, 10126 Turin, Italy.ORCID 0000-0003-3948-0243
Massimo CarossaC.I.R. Dental School, Department of Surgical Sciences, University of Turin, 10126 Turin, Italy.ORCID 0000-0001-9495-1832
Davide CamisassaC.I.R. Dental School, Department of Surgical Sciences, University of Turin, 10126 Turin, Italy.
Marta BezziC.I.R. Dental School, Department of Surgical Sciences, University of Turin, 10126 Turin, Italy.ORCID 0000-0002-9256-0552
Giulia RivettiC.I.R. Dental School, Department of Surgical Sciences, University of Turin, 10126 Turin, Italy.
Vincenzo NobileComplife Italia S.r.l., Via Mons. Angelini 21, 27028 San Martino Siccomario, Italy.ORCID 0000-0001-9147-302X
Renato PolC.I.R. Dental School, Department of Surgical Sciences, University of Turin, 10126 Turin, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to investigate the effect of HA in improving post-extraction socket healing in subjects with diabetes mellitus (DM) type 2. DM patients requiring bilateral extraction of the homologous teeth were visited at the C.I.R. Dental School, University of Turin. After the extractions, one site was randomly assigned to the test (T) group (postoperative application of HA), while the other site was assigned to the control group (C, no treatment). Patients were then followed after 3, 7, 14, and 21 days. Primary outcomes were the healing index and socket closure. The Mann-Whitney test or the Student's t-test was used for nonparametric or parametric distributed variables. The chi-square test was used if the estimated data in any given cell were >5, otherwise the Fisher test was adopted. A

Indexed as

diabetes mellitushealinghyaluronic acidpost-extractivetooth socket

Identifiers

PMID38256586
PMCPMC10816872

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.