Evidence map›Paper›PMID 42165964›Full record

ReviewEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2026

Laboratory diagnosis of brucellosis: evolving synergy between serological testing and next-generation sequencing.

Shihe Chen, Yufei Hua, Dong Chen, Xin Jiang

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In one paragraph

Review in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2026. 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
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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

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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

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

4 authors.

Shihe ChenPeking University China-Japan Friendship School of Clinical Medicine, Beijing, 100029, China.
Yufei HuaChina Japan Friendship Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100029, China.
Dong ChenDepartment of Orthopaedics, China-Japan Friendship Hospital, No.2 Yinghua East Street, Chaoyang District, Beijing, 100029, China.
Xin JiangDepartment of Orthopaedics, China-Japan Friendship Hospital, No.2 Yinghua East Street, Chaoyang District, Beijing, 100029, China. 18612561166@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBrucellosis is an animal‑to‑human infection that is hard to identify in practice; its signs are vague and the laboratory tools used in routine care have clear limits. Bacterial culture is regarded as the reference test; the procedure is slow and has modest sensitivity, and in many hospitals clinicians rely mainly on serologic assays when they make a diagnosis. Over the past decade clinical microbiology laboratories have increasingly used next‑generation sequencing (NGS) as a tool for pathogen identification, especially metagenomic NGS (mNGS). In patients with suspected bru-cellosis clinicians and laboratory staff often see a mismatch between test results, with serological assays suggesting infection but NGS reports failing to detect Brucella, a gap between serology and sequencing that remains a frequent and unresolved problem in routine diagnosis.

objectiveThis review brings together available data on how serological tests and sequencing-based methods in both metagenomic and targeted formats contribute to the laboratory diagnosis of human brucellosis and where they fall short.

conclusionIt describes biological and technical sources of false-positive serology and false-negative sequencing and sets out a practical integrated way to judge and confirm mismatched findings so that laboratories and clinicians can use conventional and molecular tools together and reach sound decisions when brucellosis is suspected.

Indexed as

BrucellaBrucellosisHigh-Throughput Nucleotide SequencingSerologic TestsAnimalsFalse Positive ReactionsHumansMolecular Diagnostic TechniquesBrucellosisClinical microbiologyDiagnostic discordanceMetagenomic sequencingNext-generation sequencingSerological diagnosis

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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.