Evidence map›Paper›PMID 27876010›Full record

ArticleBMC pregnancy and childbirth2016

A discriminant analysis prediction model of non-syndromic cleft lip with or without cleft palate based on risk factors.

Huixia Li, Miyang Luo, Jiayou Luo, Jianfei Zheng, Rong Zeng, Qiyun Du, Junqun Fang, Na Ouyang

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

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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.

Huixia LiDepartment of Maternal and Children Health, Xiangya School of Public Health, Central South University, No.110, Xiangya Road, Kaifu District, Changsha, 410008, Hunan Province, China.
Miyang LuoDepartment of Epidemiology, Saw Swee Hock School of Public Health, National University of Singapore, 21 Lower Kent Ridge Road, Singapore, 119077, Singapore.
Jiayou LuoDepartment of Maternal and Children Health, Xiangya School of Public Health, Central South University, No.110, Xiangya Road, Kaifu District, Changsha, 410008, Hunan Province, China. jiayouluo@126.com.
Jianfei ZhengDepartment of Emergency and Intensive Care Medicine, Second Xiangya Hospital, Central South University, No.139, Central Renminzhong Road, Furong District, Changsha, 410011, Hunan Province, China.
Rong ZengDepartment of Pharmacy, Xiangya Hospital, Central South University, No.87, Xiangya Road, Kaifu District, Changsha, 410008, Hunan Province, China.
Qiyun DuDepartment of Health Care, Hunan Provincial Maternal and Child Health Care Hospital, No.53, Xiangchun Road, Kaifu District, Changsha, 410008, Hunan Province, China.
Junqun FangDepartment of Health Care, Hunan Provincial Maternal and Child Health Care Hospital, No.53, Xiangchun Road, Kaifu District, Changsha, 410008, Hunan Province, China.
Na OuyangDepartment of Hospital Infection-Control, Second Xiangya Hospital, Central South University, No.139, Central Renmin Road, Furong District, Changsha, 410011, Hunan Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA risk prediction model of non-syndromic cleft lip with or without cleft palate (NSCL/P) was established by a discriminant analysis to predict the individual risk of NSCL/P in pregnant women.

methodsA hospital-based case-control study was conducted with 113 cases of NSCL/P and 226 controls without NSCL/P. The cases and the controls were obtained from 52 birth defects' surveillance hospitals in Hunan Province, China. A questionnaire was administered in person to collect the variables relevant to NSCL/P by face to face interviews. Logistic regression models were used to analyze the influencing factors of NSCL/P, and a stepwise Fisher discriminant analysis was subsequently used to construct the prediction model.

resultsIn the univariate analysis, 13 influencing factors were related to NSCL/P, of which the following 8 influencing factors as predictors determined the discriminant prediction model: family income, maternal occupational hazards exposure, premarital medical examination, housing renovation, milk/soymilk intake in the first trimester of pregnancy, paternal occupational hazards exposure, paternal strong tea drinking, and family history of NSCL/P. The model had statistical significance (lambda = 0.772, chi-square = 86.044, df = 8, P < 0.001). Self-verification showed that 83.8 % of the participants were correctly predicted to be NSCL/P cases or controls with a sensitivity of 74.3 % and a specificity of 88.5 %. The area under the receiver operating characteristic curve (AUC) was 0.846.

conclusionsThe prediction model that was established using the risk factors of NSCL/P can be useful for predicting the risk of NSCL/P. Further research is needed to improve the model, and confirm the validity and reliability of the model.

Indexed as

Area Under CurveCase-Control StudiesChinaChi-Square DistributionCleft LipCleft PalateDiscriminant AnalysisFemaleHumansIncomeLogistic ModelsMaleMaternal ExposureMaternal Nutritional Physiological PhenomenaPaternal ExposurePedigreeDiscriminant analysisNon-syndromic cleft lip with or without cleft palatePrediction modelRisk factors

Identifiers

PMID27876010
PMCPMC5120438

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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.