Evidence map›Paper›PMID 39926856›Full record

ArticleJournal of pharmacy & bioallied sciences2024

Prevalence, Severity, and Predictors of Apical Root Resorption Following Orthodontic Treatment: A Cone-Beam Computed Tomography Study.

Kunal Bhardwaj, Nikita Patel, Arvind Mengi, Ranu S Ingole, Gaurav Ahuja, Arti Butoliya, Miral Mehta

Abstract read
In one paragraph

Article in Journal of pharmacy & bioallied sciences, 2024. 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
–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

3 citing papers in PubMed.

  1. Trial
  2. Trial
  3. 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.

Kunal BhardwajDepartment of Orthodontics and Dentofacial Orthopedics, Kalka Dental College and Hospital, Meerut, Uttar Pradesh, India.
Nikita PatelDepartment of Conservative and Endodontics, College of Dental Sciences, Amargadh, Bhavnagar, Gujarat, India.
Arvind MengiDepartment of Orthodontics and Dentofacial Orthopaedics, Indira Gandhi Government Dental College, Jammu and Kashmir, India.
Ranu S IngoleDepartment of Oral Medicine and Radiology, Government Dental College and Hospital, Nagpur, Maharashtra, India.
Gaurav AhujaDepartment of Orthodontics, M M College of Dental Sciences and Research, Ambala, Haryana, India.
Arti ButoliyaDepartment of Oral and Maxillofacial Surgery, Rajasthan Dental Collage and Hospital, Jaipur, Rajasthan, India.
Miral MehtaDepartment of Pedodontics, Karmavati School of Dentistry, Karnavati University, Gandhinagar, Gujarat, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: To investigate the prevalence, severity, and predictors of apical root resorption following orthodontic treatment using cone-beam computed tomography (CBCT). Methods: A retrospective analysis was conducted on the CBCT scans of 141 orthodontic patients (76 males and 65 females). CBCT images were meticulously assessed for the presence and severity of apical root resorption using standardized grading criteria. Results: The prevalence of apical root resorption was 45.4%. Among those with root resorption, 35.5% exhibited grade 1 resorption, while 10.8% showed grade 2 resorption. Sex was not significantly associated with the severity of root resorption ( Conclusion: This study provides valuable insights into the prevalence, severity, and predictors of apical root resorption following orthodontic treatment using CBCT imaging. These findings highlight the importance of considering patient demographics and treatment duration in treatment planning to mitigate the risk of root resorption and enhance treatment outcomes.

Indexed as

Apical root resorptioncone-beam computed tomographyorthodontic treatment

Identifiers

PMID39926856
PMCPMC11805165

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Registered trials

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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.