Evidence map›Paper›PMID 30813154›Full record

Observational studyMedicine2019

Multiple risks analysis for aplastic anemia in Zhejiang, China: A case-control study.

Li-Qiang Wu, Ying-Ying Shen, Ying Zhang, Yue-Min Kuang, Bing-Mu Fang, Zhou-Zheng Wang, Li-Juan Fu, Ke-Ding Shao, Jian-Ping Shen, Yu-Hong Zhou and 5 more

Abstract readObservational Study
In one paragraph

Observational study in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

15 authors.

Li-Qiang WuDepartment of Hematology, The First Affiliated Hospital of Zhejiang Chinese Medical University.
Ying-Ying ShenDepartment of Hematology, The First Affiliated Hospital of Zhejiang Chinese Medical University.
Ying ZhangDepartment of Hematology, The First Affiliated Hospital of Zhejiang Chinese Medical University.
Yue-Min KuangDepartment of Hematology, Jinhua People's Hospital, Jinhua.
Bing-Mu FangDepartment of Hematology, Lishui City People's Hospital, Lishui.
Zhou-Zheng WangDepartment of Hematology, The Second Hospital of Jiaxing, Jiaxing.
Li-Juan FuDepartment of Hematology, The Second Affiliated Hospital of Zhejiang Chinese Medical University.
Ke-Ding ShaoZhejiang Chinese Medical University, Hangzhou, China.
Jian-Ping ShenDepartment of Hematology, The First Affiliated Hospital of Zhejiang Chinese Medical University.
Yu-Hong ZhouDepartment of Hematology, The First Affiliated Hospital of Zhejiang Chinese Medical University.
Yi-Ping ShenDepartment of Hematology, The First Affiliated Hospital of Zhejiang Chinese Medical University.
Bao-Dong YeDepartment of Hematology, The First Affiliated Hospital of Zhejiang Chinese Medical University.
Zhi-Yin ZhengDepartment of Hematology, The First Affiliated Hospital of Zhejiang Chinese Medical University.
Jun-Fa ChenDepartment of Hematology, The First Affiliated Hospital of Zhejiang Chinese Medical University.
Sheng-Yun LinDepartment of Hematology, The First Affiliated Hospital of Zhejiang Chinese Medical University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To understand the risks associated with aplastic anemia (AA) in 4 cities of Zhejiang Province, China, with special focus on the joint contributions of multiple risks.Based on an Electronic Data Capture (EDC), a case control study was carried out. Data regarding socio-demographic, diseases history, living habits, and exposures to toxic substances, etc., were collected through survey questionnaires. t Test, chi-square test, or non-parametric rank sum test, and univariate and multivariate Logistic regression analysis were conducted to analyze data.The univariate logistic regression analysis results indicated that among all study participants (n = 1802), AA was associated with over 30 risks, in terms of their individual behaviors, daily and environmental exposures, diseases history, and family history. Multivariate logistic regression analysis further confirmed that the independent risks related to AA included presence of chemical factory within 3 km of living residence (odds ratio [OR] = 8.73, 95% CI: 1.42-53.74, P = .019), living in a newly decorated house/apartment (OR = 25.37, 95% CI: 4.44-144.81, P < .001), vegetarian diet (OR = 131.60, 95% CI: 3.45-5020.16, P = .009), preference of sugar (OR = 89.38, 95% CI: 7.22-1106.44, P < .001), preference of oily food (OR = 55.68, 95% CI: 5.12-605.26, P = .001), drinking lake water or pond water (OR = 58.05, 95% CI: 3.21-1049.81, P < .001), habit of staying up late (OR = 11.87, 95% CI: 3.43-41.02, P < .001), infection history (OR = 10.08, 95% CI: 2.75-36.93, P < .001). Result of receiver operating characteristic curve (ROC) analysis on the joint contribution of multiple risks indicated that AA was 13.835 times likely to occur when exposed to ≥1 risks than those exposed to 0 risks (95% CI: 9.995-19.149).Our study results demonstrated a comprehensive epidemiological pattern, in which the joint contributions of individual inherited health status, environment exposure, and individual behaviors lead to the occurrence of AA.

Indexed as

AdolescentAdultAgedAnemia, AplasticCase-Control StudiesChildChild, PreschoolChinaEnvironmental ExposureFemaleHealth BehaviorHumansInfantMaleMiddle AgedRisk Assessment

Identifiers

PMID30813154
PMCPMC6408124

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.