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不同问题有不同影响:以短宫颈和早产风险为例。

Different effects for different questions: An illustration using short cervix and the risk of preterm birth.

机构信息

Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Department of Epidemiology and Biostatistics, School of Public Health, University of Zambia, Lusaka, Zambia.

出版信息

Int J Gynaecol Obstet. 2023 Mar;160(3):842-849. doi: 10.1002/ijgo.14372. Epub 2022 Aug 11.

DOI:10.1002/ijgo.14372
PMID:35899762
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11155393/
Abstract

OBJECTIVE

To illustrate the difference between exposure effects and population attributable effects.

METHODS

We examined the effect of mid-pregnancy short cervical length (<25 mm) on preterm birth using data from a prospective cohort of pregnant women in Lusaka, Zambia. Preterm birth was live birth or stillbirth before 37 weeks of pregnancy. For estimation, we used multivariable regression and parametric g-computation.

RESULTS

Among 1409 women included in the analysis, short cervix was rare (2.4%); 13.6% of births were preterm. Exposure effect estimates were large (marginal risk ratio 2.86, 95% confidence interval [CI] 1.80-4.54), indicating that the preterm birth risk was substantially higher among women with a short cervix compared with women without a short cervix. However, the population attributable effect estimates were close to the null (risk ratio 1.06, 95% CI 1.02-1.10), indicating that an intervention to counteract the impact of short cervix on preterm birth would have minimal effect on the population risk of preterm birth.

CONCLUSION

Although authors often refer to "the" effect, there are actually different types of effects, as we have illustrated here. In planning research, it is important to consider which effect to estimate to ensure that the estimate aligns with the research objective.

摘要

目的

说明暴露效应与人群归因效应的区别。

方法

我们利用赞比亚卢萨卡一项前瞻性孕妇队列的数据,研究了妊娠中期宫颈管短(<25mm)对早产的影响。早产是指妊娠 37 周前的活产或死产。为了进行估计,我们使用了多变量回归和参数 g 计算。

结果

在纳入分析的 1409 名女性中,宫颈管短的情况较为罕见(2.4%);13.6%的分娩为早产。暴露效应估计值较大(边际风险比 2.86,95%置信区间[CI] 1.80-4.54),表明与无宫颈管短的女性相比,宫颈管短的女性早产风险显著升高。然而,人群归因效应估计值接近零(风险比 1.06,95%CI 1.02-1.10),表明针对宫颈管短对早产影响的干预措施对早产的人群风险影响极小。

结论

尽管作者经常提到“某种”效应,但实际上存在不同类型的效应,正如我们在这里所说明的。在规划研究时,重要的是要考虑估计哪种效应,以确保估计值与研究目标一致。

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本文引用的文献

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Maternal HIV Infection and Spontaneous Versus Provider-Initiated Preterm Birth in an Urban Zambian Cohort.母亲 HIV 感染与自发性早产和医源性早产:赞比亚城市队列研究。
J Acquir Immune Defic Syndr. 2021 Jun 1;87(2):860-868. doi: 10.1097/QAI.0000000000002654.
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Adverse birth outcomes and their clinical phenotypes in an urban Zambian cohort.赞比亚城市队列中的不良出生结局及其临床表型
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Number (of Whom?) Needed to Treat (with What?): Exposures, Population Interventions, and the Number Needed to Treat.需要治疗多少人(用什么治疗):暴露人数、人群干预和需要治疗的人数。
Epidemiology. 2019 Nov;30 Suppl 2:S55-S59. doi: 10.1097/EDE.0000000000001061.
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The Zambian Preterm Birth Prevention Study (ZAPPS): Cohort characteristics at enrollment.赞比亚早产预防研究(ZAPPS):入组时的队列特征。
Gates Open Res. 2019 Jul 15;2:25. doi: 10.12688/gatesopenres.12820.3. eCollection 2018.
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Population attributable fraction.人群归因分数。
BMJ. 2018 Feb 22;360:k757. doi: 10.1136/bmj.k757.
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Multiple Imputation for Incomplete Data in Epidemiologic Studies.在流行病学研究中对不完全数据的多重插补。
Am J Epidemiol. 2018 Mar 1;187(3):576-584. doi: 10.1093/aje/kwx349.
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From Patients to Policy: Population Intervention Effects in Epidemiology.从患者到政策:流行病学中的人群干预效果
Epidemiology. 2017 Jul;28(4):525-528. doi: 10.1097/EDE.0000000000000648.
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Population Intervention Measures to Connect Research Findings to Policy.将研究成果与政策相联系的人群干预措施。
Am J Public Health. 2016 Dec;106(12):2152-2153. doi: 10.2105/AJPH.2016.303494.
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Predicting the Population Health Impacts of Community Interventions: The Case of Alcohol Outlets and Binge Drinking.预测社区干预对人群健康的影响:以酒类销售点与酗酒为例。
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