Evidence map›Paper›PMID 41510036›Full record

ArticleIranian journal of microbiology2025

The etiology of acute infectious febrile illnesses at a tertiary care hospital: an experience from a hilly region of Uttarakhand.

Yogita Rawat, Shekhar Pal, Arti Negi, Uneza Husain, Rahul Nath, Nidhi Negi

Abstract read
In one paragraph

Article in Iranian journal of microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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5 · Who and what money

Authors and funding

6 authors.

Yogita RawatDepartment of Microbiology, Government Doon Medical College, Dehradun, Uttarakhand, India.
Shekhar PalDepartment of Microbiology, Government Doon Medical College, Dehradun, Uttarakhand, India.
Arti NegiDepartment of Microbiology, Government Doon Medical College, Dehradun, Uttarakhand, India.
Uneza HusainDepartment of Microbiology, Government Doon Medical College, Dehradun, Uttarakhand, India.
Rahul NathDepartment of Microbiology, Government Doon Medical College, Dehradun, Uttarakhand, India.
Nidhi NegiDepartment of Microbiology, Government Doon Medical College, Dehradun, Uttarakhand, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: The differential diagnosis of acute febrile illness (AFI) is influenced by the regional distribution of prevalent diseases. Hence, in our hospital-based data analysis, we evaluated the AFI cases presented to our center to raise awareness among clinicians and microbiologists regarding the percentage positivity of the prevailing diseases in the context of AFI based on serology, in and around the city of Dehradun. Materials and Methods: A total of 38,869 suspected AFI patients were enrolled in the study, and their specimens were analysed for infectious etiologies, including dengue, malaria, enteric fever, and scrub typhus by antigen-antibody based detection methods. Results: Data analysis conducted from September 2021 to December 2022 among patients with AFI revealed that enteric fever, dengue, scrub typhus, and malaria accounted for 12.65%, 7.37%, 1.44%, and 0.18% of cases, respectively. Conclusion: Since enteric fever followed by dengue was found to be contributing the maximum, mass education regarding safe drinking water, hygiene, sanitation, and strengthening of vector control measures is the need of the hour.

Indexed as

Acute febrile illnessFeverMalariaSalmonellaScrub typhus

Identifiers

PMID41510036
PMCPMC12777638

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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.