Evidence map›Paper›PMID 38926734›Full record

ArticleAnnals of clinical microbiology and antimicrobials2024

Investigation of antimicrobial susceptibility patterns, risk factors and their impact on mortality in cancer patients at a tertiary care cancer hospital- A prospective study.

Akshay Shelke, Pallavi Priya, Shiwani Mishra, Richa Chauhan, Krishna Murti, V Ravichandiran, Sameer Dhingra

Abstract read
In one paragraph

Article in Annals of clinical microbiology and antimicrobials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  6. Risk factors, resistance profiles, and clinical outcomes ofFrontiers in cellular and infection microbiology · 2026
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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

7 authors.

Akshay ShelkeDepartment of Pharmacy Practice, National Institute of Pharmaceutical Education and Research (NIPER) Hajipur, Dist. Vaishali, Bihar, India.
Pallavi PriyaDepartment of Microbiology, Mahavir Cancer Sansthan and Research Centre (MCSRC), Patna, Bihar, India.
Shiwani MishraDepartment of Microbiology, Mahavir Cancer Sansthan and Research Centre (MCSRC), Patna, Bihar, India.
Richa ChauhanDepartment of Radiotherapy, Mahavir Cancer Sansthan and Research Centre (MCSRC), Patna, Bihar, India.
Krishna MurtiDepartment of Pharmacy Practice, National Institute of Pharmaceutical Education and Research (NIPER) Hajipur, Dist. Vaishali, Bihar, India.
V RavichandiranDepartment of Pharmacy Practice, National Institute of Pharmaceutical Education and Research (NIPER) Hajipur, Dist. Vaishali, Bihar, India.
Sameer DhingraDepartment of Pharmacy Practice, National Institute of Pharmaceutical Education and Research (NIPER) Hajipur, Dist. Vaishali, Bihar, India. sameerdhingra78@gmail.com.ORCID http://orcid.org/0000-0003-2537-8889

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer patients are vulnerable to infections due to immunosuppression caused by cancer itself and its treatment. The emergence of antimicrobial-resistant bacteria further complicates the treatment of infections and increases the mortality and hospital stays. This study aimed to investigate the microbial spectrum, antimicrobial resistance patterns, risk factors, and their impact on clinical outcomes in these patients.

methodsA prospective study was conducted at a tertiary care cancer hospital in Patna, Bihar, India, which included cancer patients aged 18 years and older with positive microbial cultures.

resultsThis study analysed 440 patients, 53% (234) of whom were females, with an average age of 49.27 (± 14.73) years. A total of 541 isolates were identified, among which 48.01% (242) were multidrug resistant (MDR), 29.76% (150) were extensively drug resistant (XDR), and 19.84% (112) were sensitive. This study revealed that patients who underwent surgery, chemotherapy, were hospitalized, had a history of antibiotic exposure, and had severe neutropenia were more susceptible to MDR and XDR infections. The average hospital stays were 16.90 (± 10.23), 18.30 (± 11.14), and 22.83 (± 13.22) days for patients with sensitive, MDR, and XDR infections, respectively. The study also revealed overall 30-day mortality rate of 31.81% (140), whereas the MDR and XDR group exhibited 38.92% and 50.29% rates of 30-day mortality respectively (P < 0.001). Possible risk factors identified that could lead to mortality, were cancer recurrence, sepsis, chemotherapy, indwelling invasive devices such as foley catheter, Central venous catheter and ryles tube, MASCC score (< 21) and pneumonia.

conclusionsThis study emphasizes the necessity for personalized interventions among cancer patients, such as identifying patients at risk of infection, judicious antibiotic use, infection control measures, and the implementation of antimicrobial stewardship programs to reduce the rate of antimicrobial-resistant infection and associated mortality and hospital length of stay.

Indexed as

Anti-Bacterial AgentsDrug Resistance, Multiple, BacterialNeoplasmsTertiary Care CentersAdultAgedBacteriaBacterial InfectionsCancer Care FacilitiesFemaleHumansIndiaLength of StayMaleMicrobial Sensitivity TestsMiddle AgedAnti-Bacterial Agents30-day mortalityAntimicrobial resistanceCancerLength of stayRisk factors

Identifiers

PMID38926734
PMCPMC11210011

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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.