Evidence map›Paper›PMID 40224675›Full record

ArticleEClinicalMedicine2025

Antimicrobial prescription patterns in tertiary care centres in India: a multicentric point prevalence survey.

Samiksha Bhattacharjee, Chakrant Mothsara, Nusrat Shafiq, Prasan Kumar Panda, Rachna Rohilla, Shilpa N Kaore, Deepak Kumar, Shefali Gupta, Parul Singh, Niyati Trivedi and 29 more

Abstract read
In one paragraph

Article in EClinicalMedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

39 authors.

Samiksha BhattacharjeeAIIMS Deoghar, India.
Chakrant MothsaraPGIMER Chandigarh, India.
Nusrat ShafiqPGIMER Chandigarh, India.
Prasan Kumar PandaAIIMS Rishikesh, India.
Rachna RohillaAIIMS Bathinda, India.
Shilpa N KaoreAIIMS Bhopal, India.
Deepak KumarAIIMS Jodhpur, India.
Shefali GuptaAIIMS Raebareli, India.
Parul SinghAIIMS Gorakhpur, India.
Niyati TrivediGMC Baroda, India.
Sagar KhadangaAIIMS Bhopal, India.
Naveen MuraliPGIMER Chandigarh, India.
Ashish Kumar KakkarPGIMER Chandigarh, India.
Deepa KumariAIIMS Rishikesh, India.
Monika ChaudharyAIIMS Jodhpur, India.
Samir MalhotraPGIMER Chandigarh, India.
Navinchandra KaoreAIIMS Bhopal, India.
Balakrishnan SadasivamAIIMS Bhopal, India.
Pankaj AroraPGIMER Chandigarh, India.
Navneet DhaliwalPGIMER Chandigarh, India.
Manisha BiswalPGIMER Chandigarh, India.
Ashish BhallaPGIMER Chandigarh, India.
Vanita SuriPGIMER Chandigarh, India.
Ritesh AgarwalPGIMER Chandigarh, India.
Amber PrasadAIIMS Rishikesh, India.
Puneet DhamijaAIIMS Rishikesh, India.
Mayank GuptaAIIMS Bathinda, India.
Madhur VermaAIIMS Bathinda, India.
Tejas PatelAIIMS Gorakhpur, India.
Atul RukadikarAIIMS Gorakhpur, India.
Kanishka KumarAIIMS Gorakhpur, India.
Mangesh BankarAIIMS Raebareli, India.
Mahendra MeenaAIIMS Raebareli, India.
Sana IslahiAIIMS Raebareli, India.
Gopal Krishana BohraAIIMS Jodhpur, India.
Durga Shankar MeenaAIIMS Jodhpur, India.
Dhara NaikGMC Baroda, India.
Jaya PathakGMC Baroda, India.
ASPIRE II study group (SASPI)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Antimicrobial resistance (AMR) poses a global health threat, emphasizing the need for Point Prevalence Surveys (PPS) to understand antibiotic use and resistance. This study assesses antibiotic use patterns and resistance in tertiary care hospitals across India to inform AMR interventions. Methods: This cross-sectional survey was conducted over two weeks between May and August 2023 in eight Indian tertiary care hospitals. The survey comprised two parts: the ward form, which captured ward details (name, specialty, bed count, and antibiotic use), and the patient form, which documented demographics, antimicrobial therapy, and microbiological data, including redundant coverage and designated antibiotics. Rationality was assessed using 50 forms from each site. Data were collected digitally by trained team of surveyors. The study included hospitalized patients on systemic antimicrobials, excluding outpatient, day-care dialysis patients, and those on topical antibiotics. Findings: Among 3974 patients in eight hospitals, adult surgical and pediatric medical wards had the highest antibiotic usage. Of 4248 prescriptions, the most common antibiotics were ceftriaxone (14.9%, 95% CI: 10.4%, 18.4%), metronidazole (10.2%, 95% CI: 6.0%-11.2%), amikacin (8.7%, 95% CI: 6.3%-11.3%), piperacillin/tazobactam (8.7%, 95% CI: 9.1%-10.5%), and meropenem (7.1%, 95% CI: 5.2%-9.5%). Antibiotics were categorized as 'Watch' (57.03%), 'Access' (32.67%), and 'Reserve' (5.08%). Primary indications were community-acquired infections (30.6%, 95% CI: 25.1%-32.5%) and surgical prophylaxis (31%, 95% CI: 29.8%-36.9%). HAIs prevalence was 13.3% (95% CI: 9.3%-15.4%), with majority of use being empiric (48.96%, 95% CI: 35.1%-58.8%). Common isolates included Interpretation: The SASPI (Society of Antimicrobial Stewardship Practices in India)-led survey underscores the high use of antibiotics in the included tertiary care centers emphasizing the need for point prevalence surveys to guide antimicrobial stewardship programs. It highlights the importance of ongoing AMR surveillance, improved stewardship, and education to refine prescribing practices, targeting hospital-acquired infections, and reducing unnecessary treatments. Funding: None.

Indexed as

Antimicrobial prescriptionsAntimicrobial resistanceHospital-acquired infectionsPoint prevalence surveyRedundant covers

Identifiers

PMID40224675
PMCPMC11992528

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LicenceCC BY-NC-ND
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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.