Evidence map›Paper›PMID 24843199›Full record

ArticleMedical journal, Armed Forces India2014

Emerging organisms in a tertiary healthcare set up.

Inam Danish Khan, Ajay Kumar Sahni, Reena Bharadwaj, Mahima Lall, A K Jindal, V K Sashindran

Abstract read
In one paragraph

Article in Medical journal, Armed Forces India, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Outbreak ofMedical journal, Armed Forces India · 2018
    Article
  2. Article
  3. Review
  4. Article
  5. 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

6 authors.

Inam Danish KhanResident (Microbiology & Molecular Medicine), Army Hospital (R&R), New Delhi 110010, India.
Ajay Kumar SahniProfessor and Head, Dept of Microbiology, Armed Forces Medical College, Pune 411040, India.
Reena BharadwajDy DGMS (Pensions), O/o DGAFMS, 'M' Block, New Delhi 110001, India.
Mahima LallClassified Specialist (Microbiology & Molecular Medicine), Army Hospital (R&R), New Delhi 110010, India.
A K JindalProfessor, Dept of Community Medicine, Armed Forces Medical College, Pune 411040, India.
V K SashindranSenior Adviser and Head (Medicine), 7 Air Force Hospital, Kanpur 208004, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne-tenth of all infectious diseases are attributable to emerging organisms. As emerging organisms sporadically affect a relatively small percentage of population they are not studied at large. This study was aimed at studying the characteristics of emerging organisms encountered from various clinical samples in an apex tertiary care multispeciality teaching and research hospital.

methods16,918 positive isolates obtained from 66,323 culture samples processed in the clinical microbiology lab of an apex multispeciality hospital during 2011-2012 were included after a pilot study. Both manual and automated systems were used for identification and antimicrobial susceptibility. The frequency of isolation, sources, referring centers, resistance and susceptibility profiles, phenotypic characteristics and number of reports in PubMed were studied.

resultsOut of 16,918 isolates, 13,498 (79.78%) were Gram negative bacteria, 3254 (19.23%) were Gram positive bacteria and 166 (0.98%) were yeasts. A total of 483 (2.85%, 95% CI 2.6%-3.1%) emerging organisms including 116 (0.69%, 95% CI 0.57%-0.81%) emerging species were identified comprising 54 genera.

conclusionEmerging organisms are likely to evade routine identification or be disregarded as non-contributory. Astute efforts directed at identification of emerging isolates, decisions by clinical microbiologists and treating physicians and containment of infection are required.

Indexed as

Antimicrobial resistanceAutomated microbiology systemsEmerging organismsMicrobial identification

Identifiers

PMID24843199
PMCPMC4017190

What OpenQuestion 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 OpenQuestion graph.