Evidence map›Paper›PMID 36966284›Full record

ArticleBMC oral health2023

Antibiotic prescriptions for oral diseases in India: evidence from national prescription data.

Manu Raj Mathur, Deepti Nagrath, Vijay Kumar Mishra, Rebecca Harris, Syed Saif Saeed, Sakthivel Selvaraj, Aashna Mehta, Habib Hasan Farooqui

Open access · goldFull text read
In one paragraph

Article in BMC oral health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Pattern of Prescription of Antibiotics by Dental Clinicians in Tertiary Health Centers: A Cross-sectional Study.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    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

8 authors at 5 institutions in 3 countries.

Manu Raj MathurQueen Mary University of London, Mile End Rd, Bethnal Green, London, E1 4NS, England. m.r.mathur@qmul.ac.uk.
Deepti NagrathPublic Health Foundation of India, Plot No. 47 Sector 44, Institutional Area, Gurgaon, 122002, Haryana, India.
Vijay Kumar MishraPublic Health Foundation of India, Plot No. 47 Sector 44, Institutional Area, Gurgaon, 122002, Haryana, India.
Rebecca HarrisUniversity of Liverpool, Liverpool, L69 3BX, UK.
Syed Saif SaeedUniversity College London, Gower St, London, WC1E 6BT, UK.
Sakthivel SelvarajHealth Economics, Financing and Policy, Public Health Foundation of India, Plot No. 47 Sector 44, Institutional Area, Gurgaon, 122002, Haryana, India.
Aashna MehtaPublic Health Foundation of India, Plot No. 47 Sector 44, Institutional Area, Gurgaon, 122002, Haryana, India.
Habib Hasan FarooquiCollege of Medicine, QU Health, Qatar University, Doha, Qatar.
Public Health Foundation of India · INQatar University · QAQueen Mary University of London · GBUniversity College London · GBUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe key objective of this research was to describe the prescription rate of various antibiotics for dental problems in India and to study the relevance of the prescriptions by analysing antibiotic types associated with different dental diagnoses, using a large-scale nationally representative dataset.

methodsWe used a 12-month period (May 2015 to April 2016) medical audit dataset from IQVIA (formerly IMS Health). We coded the dental diagnosis provided in the medical audit data to the International Statistical Classification of Diseases and Related Health Problems (ICD-11) and the prescribed antibiotics for the diagnosis to the Anatomic Therapeutic Chemical (ATC) -2020 classification of the World Health Organization. The primary outcome measure was the medicine prescription rate per 1,000 persons per year (PRPY

resultsOur main findings were-403 prescriptions per 1,000 persons per year in the year 2015 -2016 for all dental ailments. Across all ATC level 1 classification, 'Diseases of hard tissues' made up the majority of the prescriptions. 'Beta-lactam', 'Penicillin,' and 'Cephalosporins' were the most commonly prescribed antibiotics for dental diagnoses followed by 'Macrolides' and 'Quinolones'. 'Dental caries', 'Discoloration of tooth', and 'Toothache' were the most common reasons for 'Beta-Lactams' and 'Penicillin' prescriptions.

conclusionTo conclude our study reports first ever country (India) level estimates of antibiotic prescription by antibiotic classes, age groups, and ICD-11 classification for dental ailments.

Indexed as

Anti-Bacterial AgentsDrug PrescriptionsCephalosporinsHumansIndiaPenicillinsAnti-Bacterial AgentsCephalosporinsPenicillinsAntimicrobial ResistanceDental AilmentsIndiaPrescription Rates

Identifiers

PMID36966284
PMCPMC10039494
OpenAlexW4360950343

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read25
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.