Evidence map›Paper›PMID 42518827›Full record

ReviewInterdisciplinary perspectives on infectious diseases2026

Meropenem Use and Challenges in Treating Severe Infections in Pakistan Amid Antimicrobial Resistance.

Nasim Akhtar, Ejaz Ahmed Khan, Summiya Nizamuddin, Sana Anwar, S H Waqar, Sarwat Faisal, Sarmad Iqbal

Abstract readReview
In one paragraph

Review in Interdisciplinary perspectives on infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Nasim AkhtarDepartment of Infectious Diseases, Pakistan Institute of Medical Sciences, Islamabad, Pakistan, pims.gov.pk.ORCID https://orcid.org/0000-0002-5344-2027
Ejaz Ahmed KhanDepartment of Pediatrics and Infectious Diseases, Shifa International Hospital, Islamabad, Pakistan, shifa.com.pk.ORCID https://orcid.org/0000-0003-4799-7971
Summiya NizamuddinDepartment of Pathology, Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, Pakistan, shaukatkhanum.org.pk.ORCID https://orcid.org/0000-0001-9725-3685
Sana AnwarDepartment of Microbiology, Liaquat National Hospital & Medical College, Karachi, Pakistan.ORCID https://orcid.org/0009-0008-5124-0393
S H WaqarDepartment of General Surgery, Pakistan Institute of Medical Sciences, Islamabad, Pakistan, pims.gov.pk.ORCID https://orcid.org/0000-0002-9218-2205
Sarwat FaisalDepartment of Medicine, College of Family Medicine, Karachi, Pakistan.
Sarmad IqbalDepartment of Pharmacy Practice, Faculty of Pharmacy & Pharmaceutical Sciences, University of Karachi, Karachi, Pakistan, uok.edu.pk.ORCID https://orcid.org/0000-0001-9743-737X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Meropenem is a broad-spectrum carbapenem antibiotic essential for treating serious infections including urinary tract infections, pneumonia, sepsis, and meningitis. This narrative review examines meropenem resistance trends and prescribing practices for severe infections in Pakistan highlighting how inappropriate use drives local antimicrobial resistance. Relevant literature was identified through a structured search of PubMed, Scopus, Web of Science, and Google Scholar using predefined keywords. Antimicrobial resistance (AMR) is a global health crisis that complicates treatment of infections caused by multidrug-resistant Gram-negative pathogens, including

Indexed as

antimicrobial resistanceantimicrobial susceptibilitycarbapenemsmeropenempneumoniaserious infections

Identifiers

PMID42518827
PMCPMC13382356

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.