ArticleMedical journal, Armed Forces India2016
Blood culture isolates and antibiogram of Salmonella: Experience of a tertiary care hospital.
Article in Medical journal, Armed Forces India, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Application of CRISPR/Cas13a system on the rapid detection of Salmonella spp.PLoS neglected tropical diseases · 2026Article
- Characterization and epidemiology of antimicrobial resistance patterns ofFrontiers in veterinary science · 2023Article
- Seropositivity ofTropical medicine and infectious disease · 2022Article
- Prevalence of Enteric Fever Pathogens Isolated from Blood Culture at a Tertiary Care Centre.JNMA; journal of the Nepal Medical Association · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEnteric fevers contribute majorly to the burden of morbidity from infectious diseases in the developing world. Due to growing antibiotic resistance seen in their management, Salmonella and its various species are required to be periodically tested for sensitivity and resistance patterns, to guide the clinical management at the local level. This will also enable planning of antibiotic recycling wherever feasible.
methodsA retrospective study of the results of blood culture isolates covering a period of 27 months was done at a tertiary care hospital. Blood samples were directly inoculated in Bactalert culture bottles and sub culture was done on Mac Conkey and Salmonella-Shigella Agar. Non-lactose fermenting colonies were processed for identification, antibiotic sensitivity and MIC value. Slide agglutination test using specific antisera was also done to confirm the serotype. Antimicrobial susceptibility was done in accordance with CLSI standards.
results8413 blood samples were processed and 1027 (12.20%) were assessed as 'culture positive'. Salmonella were isolated in 46 samples of which 38 (83%) were Salmonella typhi and a single isolate was Salmonella paratyphi B. S.typhi showed maximum sensitivity to imipenem (100%) (MIC <0.25 μg/ml) followed by ciprofloxacin (76.8%) (MIC >1 μg/ml) and nalidixic acid (50%) (MIC ≥ 32 μg/ml). S. paratyphi B showed 100% sensitivity to all the common antibiotics. Four samples (8%) were classified as multi drug resistant (MDR).
conclusionOur study has shown improved sensitivity to ceftriaxone and cotrimoxazole. A high degree of susceptibility to ampicillin among both S. typhi and S.paratyphi A is encouraging. However, low susceptibility to nalidixic acid and ciprofloxacin is a cause for concern. There is a need for further clinical studies to evaluate the response to chloramphenicol in MDR cases and to formulate uniform laboratory guidelines to test antibiotic sensitivity of S. typhi isolates.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.