Evidence map›Paper›PMID 36417925›Full record

SynthesisEmerging infectious diseases2022

Systematic Review and Meta-analysis of Lyme Disease Data and Seropositivity for Borrelia burgdorferi, China, 2005‒2020.

James H Stark, Xiuyan Li, Ji Chun Zhang, Leah Burn, Srinivas R Valluri, Jiaxin Liang, Kaijie Pan, Mark A Fletcher, Raphael Simon, Luis Jodar and 1 more

Open access · diamondAbstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Emerging infectious diseases, 2022. 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
3.4field-weighted citation impact, top 8% 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, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Lyme borreliosis.Nature reviews. Disease primers · 2026
    Review
  4. Article
  5. Review
  6. Prevalence of Lyme Disease and Relapsing FeverPathogens (Basel, Switzerland) · 2024
    Review
  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 3 countries.

James H Stark
Xiuyan Li
Ji Chun Zhang
Leah Burn
Srinivas R Valluri
Jiaxin Liang
Kaijie Pan
Mark A Fletcher
Raphael Simon
Luis Jodar
Bradford D Gessner
Pfizer (China) · CNPfizer (United States) · USPfizer (France) · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since its initial identification in 1986, Lyme disease has been clinically diagnosed in 29 provinces in China; however, national incidence data are lacking. To summarize Lyme disease seropositivity data among persons across China, we conducted a systematic literature review of Chinese- and English-language journal articles published during 2005‒2020. According to 72 estimates that measured IgG by using a diagnostic enzyme-linked assay (EIA) alone, the seropositivity point prevalence with a fixed-effects model was 9.1%. A more conservative 2-tier testing approach of EIA plus a confirmatory Western immunoblot (16 estimates) yielded seropositivity 1.8%. Seropositivity by EIA for high-risk exposure populations was 10.0% and for low-risk exposure populations was 4.5%; seropositivity was highest in the northeastern and western provinces. Our analysis confirms Lyme disease prevalence, measured by seropositivity, in many Chinese provinces and populations at risk. This information can be used to focus prevention measures in provinces where seropositivity is high.

Indexed as

Borrelia burgdorferiLyme DiseaseBlotting, WesternChinaHumansPrevalencebacteriaBorrelia burgdorferiChinaepidemiologyLyme diseaseparasitesseroepidemiologic studiestick-borne diseasesvector-borne infections

Identifiers

PMID36417925
PMCPMC9707590
OpenAlexW4310333501

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.