Evidence map›Paper›PMID 40420908›Full record

ArticleInfection and drug resistance2025

Brucella Melitensis Infection Leading to Septicemia in a Pediatric Patient: A Case Study and Literature Review.

Yanhua Fu, Tianji Gao, Min Zhao, Meimei Yao, Jing Liu, Yanli Zhao, Xiang Li

Abstract readCase Reports
In one paragraph

Article in Infection and drug resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yanhua FuDepartment of Rheumatology, Baoding Hospital of Beijing Children's Hospital, Capital Medical University, Baoding City, People's Republic of China.
Tianji GaoDepartment of Rheumatology, Baoding Hospital of Beijing Children's Hospital, Capital Medical University, Baoding City, People's Republic of China.
Min ZhaoDepartment of Rheumatology, Baoding Hospital of Beijing Children's Hospital, Capital Medical University, Baoding City, People's Republic of China.
Meimei YaoDepartment of Rheumatology, Baoding Hospital of Beijing Children's Hospital, Capital Medical University, Baoding City, People's Republic of China.
Jing LiuDepartment of Rheumatology, Baoding Hospital of Beijing Children's Hospital, Capital Medical University, Baoding City, People's Republic of China.
Yanli ZhaoNursing Department, Baoding Hospital of Beijing Children's Hospital, Capital Medical University, Baoding City, People's Republic of China.
Xiang LiDepartment of Allergy, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To enhance the clinical awareness of Methods: The clinical data from a case of Results: Three weeks before the onset of illness, the patient had a history of raw beef exposure. The primary clinical manifestation was undulant fever. Hematological tests revealed elevated C-reactive protein and erythrocyte sedimentation rate, accompanied by tenderness in the right hip joint and a positive "4 Sign" on the right side. The hip joint ultrasound was unremarkable. Blood culture identified Conclusion: For patients with suspected infections, it is crucial to actively identify the causative pathogen and administer appropriate antimicrobial therapy based on laboratory results. Clinicians should emphasize etiological testing, using various staining techniques to improve diagnostic accuracy when identifying bacterial colonies on culture plates.

Indexed as

BrucellaBrucella melitensisinfectionsepticemia

Identifiers

PMID40420908
PMCPMC12104570

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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.