Evidence map›Paper›PMID 41852998›Full record

ArticleJournal of pharmacy & bioallied sciences2026

Radiographic Evaluation of Periapical Healing Following Single vs Multiple Visit Root Canal Treatment: A PAI Based Study.

Charan Teja Bobba, Ankita Grace Vijay, Varsha Aher, Jaskaran Singh, Ayushi Kejriwal, K Srinivasan, Aditya Ranjan

Abstract read
In one paragraph

Article in Journal of pharmacy & bioallied sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Charan Teja BobbaPrivate Practitioner, USA.
Ankita Grace VijayDepartment of Conservative Dentistry and Endodontics, Sri Aurobindo College of Dentistry, Sri Aurobindo University, Indore, Madhya Pradesh, India.
Varsha AherDepartment Oral Medicine and Radiology, Megascan Imaging Centre Vashi, Vashi, Navi Mumbai, Maharastra, India.
Jaskaran SinghDepartment of Conservative Dentistry and Endodontics, Desh Bhagat Dental College and Hospital, Mandi Gobindgarh, Punjab, India.
Ayushi KejriwalDepartment of Conservative Dentistry and Endodontics, Faculty of Dental Sciences, IMS, BHU, Varanasi, Uttar Pradesh, India.
K SrinivasanDepartment of Periodontology, Mahatma Gandhi Postgraduate Institute of Dental sciences, Government of Puducherry Institution, Gorimedu, Puducherry, India.
Aditya RanjanDepartment of Conservative Dentistry and Endodontics, University of Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This randomized controlled clinical trial compared the radiographic periapical healing outcomes of single-visit versus multiple-visit root canal treatments for teeth with apical periodontitis. Materials and Methods: Thirty patients with single-rooted teeth diagnosed with primary apical periodontitis were randomly allocated to either a single-visit (n = 15) or a multiple-visit (n = 15) group. Periapical healing was radiographically evaluated using the Periapical Index (PAI) score at baseline and at 6 and 12-month follow-up appointments. Results: The results showed no statistically significant difference in the radiographic healing rates between the two groups at either follow-up period. The success rates (PAI score ≤2) were 93.3% for the single-visit group and 86.7% for the multiple-visit group at 12 months ( Conclusion: These findings suggest that both treatment protocols are equally effective in achieving periapical healing, challenging the necessity of an inter-appointment intracanal medicament.

Indexed as

PAIperiapical indexperiapical periodontitis

Identifiers

PMID41852998
PMCPMC12995068

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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.