Evidence map›Paper›PMID 33355158›Full record

ArticleArchives of disease in childhood2021

New screening approach to detecting congenital syphilis in China: a retrospective cohort study.

Fang Hu, Shuai-Jun Guo, Jian-Jun Lu, Ning-Xuan Hua, Yan-Yan Song, Sui-Fang Lin, Sui Zhu

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Archives of disease in childhood, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. A Retrospective Cohort Study onInfection and drug resistance · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 2 countries.

Fang HuDepartment of Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.
Shuai-Jun GuoCentre for Community Child Health, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
Jian-Jun LuThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China.
Ning-Xuan HuaDepartment of Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.
Yan-Yan SongDepartment of Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.
Sui-Fang Lin *Department of Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China zhusui1213@126.com suifanglin@163.com.
Sui Zhu *Department of Medical Statistics, School of Medicine, Jinan University, Guangzhou, Guangdong, China zhusui1213@126.com suifanglin@163.com.ORCID 0000-0002-0012-9045
Guangzhou Medical University · CNGuangzhou Women and Children Medical Center · CNJinan University · CNSun Yat-sen University · CNThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiagnosis of congenital syphilis (CS) is not straightforward and can be challenging. This study aimed to evaluate the validity of an algorithm using timing of maternal antisyphilis treatment and titres of non-treponemal antibody as predictors of CS.

methodsConfirmed CS cases and those where CS was excluded were obtained from the Guangzhou Prevention of Mother-to-Child Transmission of syphilis programme between 2011 and 2019. We calculated sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) using receiver operating characteristics (ROC) in two situations: (1) receiving antisyphilis treatment or no-treatment during pregnancy and (2) initiating treatment before 28 gestational weeks (GWs), initiating after 28 GWs or receiving no treatment for syphilis seropositive women.

resultsAmong 1558 syphilis-exposed children, 39 had confirmed CS. Area under the curve, sensitivity and specificity of maternal non-treponemal titres before treatment and treatment during pregnancy were 0.80, 76.9%, 78.7% and 0.79, 69.2%, 88.7%, respectively, for children with CS. For the algorithm, ROC results showed that PPV and NPV for predicting CS were 37.3% and 96.4% (non-treponemal titres cut-off value 1:8 and no antisyphilis treatment), 9.4% and 100% (non-treponemal titres cut-off value 1:16 and treatment after 28 GWs), 4.2% and 99.5% (non-treponemal titres cut-off value 1:32 and treatment before 28 GWs), respectively.

conclusionsAn algorithm using maternal non-treponemal titres and timing of treatment during pregnancy could be an effective strategy to diagnose or rule out CS, especially when the rate of loss to follow-up is high or there are no straightforward diagnostic tools.

Indexed as

AdultAlgorithmsChinaFemaleGestational AgeHumansIncidenceInfant, NewbornInfectious Disease Transmission, VerticalMass ScreeningPredictive Value of TestsPregnancyPregnancy Complications, InfectiousRetrospective StudiesRisk FactorsSensitivity and Specificitymicrobiologystatistics

Identifiers

PMID33355158
PMCPMC7907569
OpenAlexW3117563832

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.