Evidence map›Paper›PMID 31351446›Full record

ArticleBMC infectious diseases2019

A case report on mother-to-child transmission of Brucella in human, China.

Guozhong Tian, Zhifei Zhan, Aimin Zhang, Hongyan Zhao, Xin Xia, Zixiang He, Bing Zhang, Menghua Zhao, Dongri Piao, Dianying Lu and 1 more

Open access · goldAbstract readCase Reports
In one paragraph

Article in BMC infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 17% of its field
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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. A detailed review of bovine brucellosis.Open veterinary journal · 2025
    Review
  3. Article
  4. Article
  5. Brucellosis in China: history, progress and challenge.Infectious diseases of poverty · 2020
    Article
  6. Article
  7. Article
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

11 authors at 3 institutions in 1 country.

Guozhong TianState Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Zhifei ZhanHunan provincial Center for Disease Control and Prevention, Changsha, China.
Aimin ZhangHunan People's Hospital, Changsha, China.
Hongyan ZhaoState Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Xin XiaHunan provincial Center for Disease Control and Prevention, Changsha, China.
Zixiang HeHunan provincial Center for Disease Control and Prevention, Changsha, China.
Bing ZhangHunan People's Hospital, Changsha, China.
Menghua ZhaoHunan People's Hospital, Changsha, China.
Dongri PiaoState Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Dianying LuState Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Hai JiangState Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China. jianghai@icdc.cn.
National Institute for Communicable Disease Control and Prevention · CNHunan Provincial Center for Disease Control and Prevention · CNHunan Provincial People's Hospital · CN

Funding

National Key R&D Program of China 2017YFC12004003
6 · The paper itself

Abstract

backgroundHuman brucellosis is endemic in China and commonly occurs through contact with infected animals from working with livestock or consumption of unpasteurized dairy products. Although rare, human-to-human, and possible sexual transmission, of Brucella has been reported. In this report, we describe a case of likely mother-to-child transmission of Brucella in Hunan Province, China. CASE PRESENTATION: Between June and October 2016, a 28-year old man sought care for testicular swelling and pain at several health facilities. His 26-year old wife developed intermittent fever along with right thigh and hip pain between November 2016 and February 2017 respectively. On April 5, 2017, the female patient delivered a male neonate at 34 weeks of gestation through natural labor. The child's venal blood sample was cultured on April 5, 2017. Brucella was isolated and identified on April 12, 2017. On the same date, serum antibodies of the father and mother were above 1:100 (based on the serum agglutination test [SAT]). The strains isolated from the mother and neonate were identified as Brucella melitensis biotype 1.

conclusionsThis report highlights a family cluster of brucellosis. Culture results strongly support mother-to-child transmission, and a high probability of sexual transmission from husband to wife.

Indexed as

Infectious Disease Transmission, VerticalAdultBrucella melitensisBrucellosisChinaFemaleHumansInfant, NewbornMalePregnancyBrucellaChinaMother-to-child transmission

Identifiers

PMID31351446
PMCPMC6661076
OpenAlexW2965972764

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.