Evidence map›Paper›PMID 42504368›Full record

ArticleCureus2026

Assessment of Drug Utilization Pattern of Antimicrobials Prescribed in the Orthopedic Department of a Tertiary Care Hospital.

Kartiki P Patil, Vandana M Thorat, Leesha L Chawla

Abstract read
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

3 authors.

Kartiki P PatilDepartment of Pharmacology, Krishna Institute of Medical Sciences, Krishna Vishwa Vidyapeeth (Deemed To Be University), Karad, IND.
Vandana M ThoratDepartment of Pharmacology, Krishna Institute of Medical Sciences, Krishna Vishwa Vidyapeeth (Deemed To Be University), Karad, IND.
Leesha L ChawlaDepartment of Pharmacology, Krishna Institute of Medical Sciences, Krishna Vishwa Vidyapeeth (Deemed To Be University), Karad, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction The purpose of prescription patterns is to collect valid data, which would help in formulating appropriate guidelines to ensure the rational use of medicines. Unfortunately, information about the use of medicines in patients visiting orthopedic clinics in tertiary care hospitals in India, especially in Maharashtra, is scanty. Therefore, the present study was undertaken with the primary objective to evaluate the current drug-prescribing trend of antimicrobials in the management of inpatients of the orthopedic department and secondary objectives to assess group-wise distribution of antimicrobials prescribed to inpatients of the orthopedic department and to assess additional drugs prescribed to these patients. Methods This study was a cross-sectional observational study done on 99 patients who were admitted to the wards of the orthopedics department of the hospital. The drug utilization assessment was done by using the WHO core drug prescribing indicators. The assessment of the drugs prescribed according to the essential drug list was done using the National List of Essential Drugs Medicines (NLEM) 2022 of India. Results The study population was predominantly elderly (47.5% ≥60 years) with male predominance (62.6%), and falls (58.6%) as the leading cause, followed by road traffic accidents (35.3%). Antimicrobial use was dominated by broad-spectrum agents, particularly ceftriaxone (43.4%), ciprofloxacin (47.5%), and metronidazole (54.5%), with moderate use of aminoglycosides (35.4%). Fixed-dose combinations were led by Cefuroxime + Sulbactam (25.2%). Supportive therapy was extensive, including ranitidine (62.6%), tramadol (59.6%), antihypertensives, insulin, and nutraceuticals. Combination therapies such as Bromelain + Trypsin + Rutoside (37.4%) were frequently used. Conclusion This study reflects a pattern of polypharmacy characterized by extensive use of broad-spectrum antimicrobials and adjunctive therapies, emphasizing the need for rational prescribing practices and antimicrobial stewardship to optimize clinical outcomes and minimize resistance.

Indexed as

antimicrobialscephalosporinsciprofloxacindrug utilizationfixed dose combinationsmetronidazoleorthopedicspolypharmacyprescriptionroad traffic accidents

Identifiers

PMID42504368
PMCPMC13402000

What Socratic holds

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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 Socratic graph.