Evidence map›Paper›PMID 40688421›Full record

ArticleIDCases2025

Wrong diagnosis - Wrong antimicrobials: Rise in antimicrobial resistance in developing countries.

Prasan Kumar Panda

Abstract readLetter
In one paragraph

Article in IDCases, 2025. 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
–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

4 citing papers in PubMed.

  1. Beyond the gut microbe: Rethinking infection, microbiome harmony, and the one-health continuum.World journal of gastrointestinal pharmacology and therapeutics · 2026
    Review
  2. Article
  3. Article
  4. 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

1 author.

Prasan Kumar PandaDepartment of Medicine (ID Division), All India Institute of Medical Sciences, Rishikesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AMR) is a growing global health crisis, disproportionately affecting developing countries. A key driver is the chain of wrong diagnosis leading to inappropriate antimicrobial use. Misclassification of infections-such as viral illnesses mistaken for bacterial infections-and failure to identify infection sources needing drainage or debridement result in unnecessary or ineffective antimicrobial therapy. This accelerates AMR, compels reliance on high-end antimicrobials, and fosters emergence of extensively drug-resistant pathogens. Compounding factors include sample contamination, absence of diagnostic-laboratory feedback loops, and empirical therapy without microbiological confirmation. Together, these perpetuate a vicious cycle of diagnostic error and AMR escalation. Strengthening diagnostic accuracy through point-of-care testing, molecular diagnostics, source control measures, and integration of diagnostic stewardship into antimicrobial stewardship programs is critical. Policy reforms, clinician education, and adoption of digital health innovations can support these efforts, breaking the cycle and preserving antimicrobial efficacy in resource-limited settings.

Indexed as

Diagnostic stewardshipEmpirical therapyMultidrug resistancePoint-of-care testingSource control

Identifiers

PMID40688421
PMCPMC12274722

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.