Evidence map›Paper›PMID 31791265›Full record

ArticleBMC infectious diseases2019

Clinical prediction and diagnosis of neurosyphilis in HIV-negative patients: a case-control study.

Yong Lu, Wujian Ke, Ligang Yang, Zhenyu Wang, Ping Lv, Jing Gu, Chun Hao, Jinghua Li, Yumao Cai, Mei Gu and 8 more

Open access · goldAbstract read
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 22 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 4 pooled it
2.2field-weighted citation impact, top 12% 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

22 citing papers in PubMed, 4 syntheses or guidelines pooled it, 34 citations in OpenAlex.

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  9. Enhancing clinical awareness: retrospective analysis of neurosyphilis cases and diagnostic predictors for early recognition and treatment.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
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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

18 authors at 5 institutions in 2 countries.

Yong LuSchool of Public Health, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.
Wujian KeDermatology Hospital, Southern Medical University, Guangzhou, 510091, Guangdong, China.
Ligang YangDermatology Hospital, Southern Medical University, Guangzhou, 510091, Guangdong, China.
Zhenyu WangSchool of Public Health, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.
Ping LvDermatology Hospital, Southern Medical University, Guangzhou, 510091, Guangdong, China.
Jing GuSchool of Public Health, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.
Chun HaoSchool of Public Health, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.
Jinghua LiSchool of Public Health, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.
Yumao CaiShenzhen Center for Chronic Disease Control, Shenzhen, Guangdong, China.
Mei GuDermatology Hospital, Southern Medical University, Guangzhou, 510091, Guangdong, China.
Hongfang LiuDermatology Hospital, Southern Medical University, Guangzhou, 510091, Guangdong, China.
Wenjing ChenDermatology Hospital, Southern Medical University, Guangzhou, 510091, Guangdong, China.
Xiaohui ZhangDermatology Hospital, Southern Medical University, Guangzhou, 510091, Guangdong, China.
Liuyuan WangDermatology Hospital, Southern Medical University, Guangzhou, 510091, Guangdong, China.
Yahui LiuQingyuan Chronic Disease Prevention Hospital, Qingyuan, 511500, Guangdong, China.
Bin YangDermatology Hospital, Southern Medical University, Guangzhou, 510091, Guangdong, China. yangbin101@hotmail.com.
Huachun ZouSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, 518107, Guangdong, China. zouhuachun@mail.sysu.edu.cn.
Heping ZhengDermatology Hospital, Southern Medical University, Guangzhou, 510091, Guangdong, China. zhhpf@hotmail.com.
Southern Medical University · CNSun Yat-sen University · CNShenzhen Chronic Disease Prevention Center · CNShenzhen Nanshan Center for Chronic Disease Control · CNUNSW Sydney · AU

Funding

Australian National Health and Medical Research Council Early Career Fellowship APP1092621Guangdong Provincial Medical Science and Technology Research Fund A2017224Guangdong Provincial Natural Science Foundation 2015A030310070Medical Science and Technology Foundation of Guangdong Province (CN) A2018248National Natural Science Foundation of China 81772240Natural Science Foundation of China Young Scientist Fund 81703278Sanming Project of Medicine in Shenzhen SZSM201811071Special Fund for Agro-scientific Research in the Public Interest (CN) 2017A020215152
6 · The paper itself

Abstract

backgroundEarly diagnosis and treatment of neurosyphilis is of great significance for regression. There is no gold standard for the diagnosis of neurosyphilis. We did this study to explore the factors associated with the clinical diagnosis of neurosyphilis and assess their accuracy for the diagnosis of neurosyphilis.

methodsWe retrospectively reviewed 100 cases of syphilis patients who underwent lumbar puncture at a major dermatology hospital in Guangzhou, China between April 2013 and November 2016. Fifty patients who were clinically diagnosed with neurosyphilis were selected as case group. Control group consisted of 50 general syphilis patients who were matched with age and gender. The records of patients were reviewed to collect data of socio-demographic information, clinical symptom, and laboratory indicators. Multivariable logistic regression was used to explore diagnostic indictors, and ROC analysis was used to assess diagnostic accuracy.

resultsNeurological symptoms (odds ratio (OR) = 59.281, 95% CI:5.215-662.910, P = 0.001), cerebrospinal fluid (CSF) Treponema pallidum particle agglutination (TPPA) titer (OR = 1.004, 95% CI:1.002-1.006, P < 0.001), CSF protein (OR = 1.005, 95% CI:1.000-1.009, P = 0.041), and CSF white blood cell (WBC) (OR = 1.120, 95% CI:1.017-1.233, P = 0.021) were found to be statistically associated with neurosyphilis. In ROC analysis, CSF TPPA titer had a sensitivity of 90%, a specificity of 84%, and an area under curve (AUC) of 0.941.

conclusionCSF TPPA can potentially be considered as an alternative test for diagnosis of neurosyphilis. Combining with neurological symptoms, CSF protein, CSF WBC, the diagnosis would have a higher sensitivity.

Indexed as

HIV SeronegativityAdultCase-Control StudiesChinaDiagnostic Tests, RoutineFemaleHIV InfectionsHumansMaleMiddle AgedNeurosyphilisPredictive Value of TestsPrognosisRetrospective StudiesSensitivity and SpecificitySyphilisCSFNeurosyphilisSyphilisTPPA

Identifiers

PMID31791265
PMCPMC6886180
OpenAlexW2993187439

What OpenQuestion holds

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LicenceCC BY
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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.