Evidence map›Paper›PMID 34383788›Full record

ArticlePLoS neglected tropical diseases2021

Spatiotemporal distribution and sociodemographic and socioeconomic factors associated with primary and secondary syphilis in Guangdong, China, 2005-2017.

Shangqing Tang, Lishuo Shi, Wen Chen, Peizhen Zhao, Heping Zheng, Bin Yang, Cheng Wang, Li Ling

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. Epidemiological characteristics of syphilis in mainland China, 2004 to 2019.The Journal of international medical research · 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

8 authors.

Shangqing TangSchool of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
Lishuo ShiClinical Research Center, The sixth affiliated hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Wen ChenSchool of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
Peizhen ZhaoDermatology Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Heping ZhengDermatology Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Bin YangDermatology Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Cheng WangDermatology Hospital, Southern Medical University, Guangzhou, Guangdong, China.ORCID 0000-0001-8000-9969
Li LingSchool of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.ORCID 0000-0003-3292-274X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies exploring the factors associated with the incidence of syphilis have mostly focused on individual-level factors. However, recent evidence has indicated that social-level factors, such as sociodemographic and socioeconomic factors, also affect the incidence of syphilis. Studies on the sociodemographic and socioeconomic factors associated with syphilis incidence are scarce, and they have rarely controlled for spatial effects, even though syphilis shows spatial autocorrelation. METHODOLOGY/PRINCIPAL

findingsSyphilis data from 21 cities in Guangdong province between 2005 and 2017 were provided by the National Notifiable Infectious Disease Reporting Information System. The incidence time series, incidence map, and space-time scanning data were used to visualize the spatiotemporal distribution. The spatial panel data model was then applied to explore the relationship between sociodemographic factors (population density, net migration rate, male:female ratio, and the number of health institutions per 1,000 residents), socioeconomic factors (gross domestic product per capita, the proportion of secondary/tertiary industry), and the incidence of primary and secondary syphilis after controlling for spatial effects. The incidence of syphilis increased slowly from 2005 (11.91 per 100,000) to 2011 (13.42 per 100,000) and then began to decrease, reaching 6.55 per 100,000 in 2017. High-risk clusters of syphilis tended to shift from developed areas to underdeveloped areas. An inverted U-shaped relationship was found between syphilis incidence and gross domestic product per capita. Moreover, syphilis incidence was significantly associated with population density (β = 2.844, P = 0.006), the number of health institutions per 1,000 residents (β = -0.095, P = 0.007), and the net migration rate (β = -0.219, P = 0.002). CONCLUSIONS/SIGNIFICANCE: Our findings suggest that the incidence of primary and secondary syphilis first increase before decreasing as economic development increases further. These results emphasize the necessity to prevent syphilis in regions at the early stages of economic growth.

Indexed as

Economic DevelopmentChinaCitiesDisease NotificationFemaleHumansIncidenceMaleSocioeconomic FactorsSpatial AnalysisSyphilis

Identifiers

PMID34383788
PMCPMC8407558

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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.