Evidence map›Paper›PMID 31219080›Full record

ArticleThe Indian journal of medical research2019

Establishing Antimicrobial Resistance Surveillance & Research Network in India: Journey so far.

Kamini Walia, Jayaprakasam Madhumathi, Balaji Veeraraghavan, Arunaloke Chakrabarti, Arti Kapil, Pallab Ray, Harpreet Singh, Sujatha Sistla, V C Ohri

Abstract read
In one paragraph

Article in The Indian journal of medical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing 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

76 citing papers in PubMed.

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  16. Article
  17. Microbiology spectrum · 2025
    Article
  18. Article
  19. Article
  20. Article

16 more citing papers are in PubMed but not listed here.

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

9 authors.

Kamini WaliaDivision of Epidemiology & Communicable Diseases, Indian Council of Medical Research, New Delhi, India.
Jayaprakasam MadhumathiDivision of Epidemiology & Communicable Diseases, Indian Council of Medical Research, New Delhi, India.
Balaji VeeraraghavanDepartment of Clinical Microbiology, Christian Medical College, Vellore, India.
Arunaloke ChakrabartiDepartment of Medical Microbiology, Postgraduate Institute of Medical Education & Research, Chandigarh, India.
Arti KapilDepartment of Microbiology, All India Institute of Medical Sciences, New Delhi, India.
Pallab RayDepartment of Medical Microbiology, Postgraduate Institute of Medical Education & Research, Chandigarh, India.
Harpreet SinghDivision of Informatics, Systems & Research Management, Indian Council of Medical Research, New Delhi, India.
Sujatha SistlaDepartment of Microbiology, Jawaharlal Institute of Postgraduate Medical Education & Research, Puducherry, India.
V C OhriDivision of Epidemiology & Communicable Diseases, Indian Council of Medical Research, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Indian Council of Medical Research, in 2013, initiated the Antimicrobial Resistance Surveillance & Research Network (AMRSN) to enable compilation of data on six pathogenic groups on antimicrobial resistance from the country. The overarching aim of this network was to understand the extent and pattern of antimicrobial resistance (AMR) and use this evidence to guide strategies to control the spread of AMR. This article describes the conception and implementation of this AMR surveillance network for India. Also described are the challenges, limitations and benefits of this approach. Data from the Network have shown increasing resistance in Gram-negative bacteria in the hospitals that are part of this network. Combined resistance to third-generation cephalosporins and fluoroquinolones and increasing carbapenem resistance are worrisome, as it has an important bearing on the patients' outcome and thus needs to be addressed urgently. Data generated through this Network have been used to develop treatment guidelines, which will be supportive in harmonizing treatment practices across the tertiary level healthcare institutions in the country. While, the major benefit of having a surveillance system is the collection of real-time accurate data on AMR including the mechanisms of resistance, representativeness to community, sustaining the current effort and expanding the current activities to next levels of healthcare settings are the major challenges. The data emanating from the network besides providing evidence, expose several gaps and lacunae in the ecosystem and highlight opportunities for action by multiple stakeholders.

Indexed as

Anti-Bacterial AgentsBacterial InfectionsDrug Resistance, Multiple, BacterialFluoroquinolonesGram-Negative BacteriaHumansIndiaMicrobial Sensitivity TestsAnti-Bacterial AgentsFluoroquinolonesAMRSNantimicrobial resistancecarbapenemscolistindata managementGram-negativeIndian Council of Medical Researchsurveillance network

Identifiers

PMID31219080
PMCPMC6563732

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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.