Evidence map›Paper›PMID 42488786›Full record

ArticleJAC-antimicrobial resistance2026

Jasmine Kaur, Noel Abraham Tiju, Rishi Pendyala, Muthuraj Vairamuthu, Aryan Gupta, Tavpritesh Sethi

Abstract read
In one paragraph

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

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

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

6 authors.

Jasmine KaurCenter of Excellence in Healthcare, Indraprastha Institute of Information Technology Delhi, Okhla Industrial Estate Phase III, New Delhi 110020, India.
Noel Abraham TijuCenter of Excellence in Healthcare, Indraprastha Institute of Information Technology Delhi, Okhla Industrial Estate Phase III, New Delhi 110020, India.
Rishi PendyalaCenter of Excellence in Healthcare, Indraprastha Institute of Information Technology Delhi, Okhla Industrial Estate Phase III, New Delhi 110020, India.
Muthuraj VairamuthuCenter of Excellence in Healthcare, Indraprastha Institute of Information Technology Delhi, Okhla Industrial Estate Phase III, New Delhi 110020, India.
Aryan GuptaCenter of Excellence in Healthcare, Indraprastha Institute of Information Technology Delhi, Okhla Industrial Estate Phase III, New Delhi 110020, India.ORCID https://orcid.org/0009-0003-1433-9363
Tavpritesh SethiCenter of Excellence in Healthcare, Indraprastha Institute of Information Technology Delhi, Okhla Industrial Estate Phase III, New Delhi 110020, India.

Funding

Immediate Hypersensitivity Responses-Infections ControlZ01AI000805 · NIAID · NIAID EXTRAMURAL ACTIVITIES · PI NUTMAN, THOMAS B · 1997 to 2008
$1.1M
Intramural NIH HHS Z01 AI000805
6 · The paper itself

Abstract

Objectives: Antimicrobial resistance (AMR) is a serious threat to global health. However, current stewardship approaches rely on static antibiograms that overlook temporal changes in resistance. We developed Methods: As a proof of concept, Results: Analysis revealed 62.4% of the combinations demonstrate increasing baseline resistance. Among the 5920 country-level trajectories, 17.7% depicted spiralling-out patterns, compared with only 13.4% spiralling-in, suggesting a concerning global imbalance. The patterns differed across sample-microorganism-antibiotic combinations, highlighting heterogeneity in trajectories across settings. An open-access dashboard and analytical suite are provided to generate trajectory-based stewardship insights from routine antimicrobial susceptibility testing datasets (https://amrorbit.tavlab.iiitd.edu.in:3002/). Conclusions:

Identifiers

PMID42488786
PMCPMC13390915

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.