Dynamic Strategies for the clinical management of HIV disease
Dynamic Strategies for the clinical management of HIV disease
批准号:
10404644
负责人:
MIGUEL HERNAN
金额:
$53.24万
依托单位国家:
美国
项目类别:
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-08-09 至 2023-05-31
关键词:
Acquired Immunodeficiency SyndromeAfricaAfricanAgeAttentionCharacteristicsClinicalClinical ManagementClinical effectivenessCollaborationsCommunitiesComplexComputer softwareConsequences of HIVDataData SourcesDatabasesDevelopmentDiseaseDocumentationEuropeEvaluationEventFeedbackFrequenciesGoalsGuidelinesHIVHIV SeropositivityHIV therapyIncidenceIncubatorsIndividualInternationalJointsManuscriptsMeasuresMethodologyMethodsMonitorNorth AmericaObservational StudyOutcomePatientsPersonsPharmaceutical PreparationsPolypharmacyProbabilityRandomized Clinical TrialsRecording of previous eventsResearchResearch PersonnelResource-limited settingResourcesRoleSafetyStatistical Data InterpretationStatistical MethodsStructural ModelsTestingTimeViralViral Load resultWeightWorkWritinganalytical methodantiretroviral therapybaseclinical decision-makingclinical effectclinically relevantcohortcompare effectivenesscostdata sharingdesigneffectiveness evaluationinnovationinterestmethod developmentmortalitynovelprospectiverandomized trialsemiparametricsoftware developmenttooltransmission processtreatment strategyuser friendly softwareuser-friendlyweb siteweb-accessible
中文摘要
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英文摘要
PROJECT SUMMARY
Observational cohorts are, and will continue to be, indispensable for the evaluation of strategies for the clinical
management of people living with HIV. The most clinically relevant strategies are dynamic strategies that
incorporate the patients' time-varying clinical history in the clinical decision. Unfortunately, conventional
statistical methods cannot appropriately compare dynamic strategies, so methods specifically designed to deal
with dynamic strategies and time-varying confounders are needed. We propose to continue to develop
analytical methods to enhance the validity of effect estimates from observational HIV cohorts.
We also propose to answer key clinical questions about the management of HIV-positive patients by applying
innovative analytic methods to complex observational data. These questions include 1) the optimal strategy for
viral load monitoring of HIV-positive individuals, 2) the effects of ART simplification on clinical outcomes, and 3)
the effects of ART on the incidence of, and mortality from, non-AIDS outcomes. Our primary data source will
be the HIV-CAUSAL Collaboration, and we will establish collaborations with complementary HIV consortia in
Europe, the U.S., and Africa. We will generate and maintain user-friendly, publicly-available software and
detailed documentation to make these methods available to the HIV research community.
Our work will implement and extend cutting-edge approaches to emulate randomized trials using observational
data, including methods based on the parametric g-formula. One reason for the lack of widespread use of
these methods is their perceived technical complexity, which has made them appear inaccessible to many
practitioners. After more than two decades of methods and software development, our group is now applying
innovative methods to large prospective HIV cohorts, and showing that these methods can be added to the
standard arsenal of HIV researchers. This proposal will strengthen the international role of the HIV-CAUSAL
Collaboration as an incubator for new methodologies in observational HIV research and beyond.
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DOI:
10.1097/qai.0000000000001498
发表时间:
2017-11-01
期刊:
Journal of acquired immune deficiency syndromes (1999)
影响因子:
--
作者:
[Lodi S, Costagliola D, Sabin C, Del Amo J, Logan R, Abgrall S, Reiss P, van Sighem A, Jose S, Blanco JR, Hernando V, Bucher HC, Kovari H, Segura F, Ambrosioni J, Gogos CA, Pantazis N, Dabis F, Vandenhende MA, Meyer L, Seng R, Gill MJ, Krentz H, Phillips AN, Porter K, Grinsztejn B, Pacheco AG, Muga R, Tate J, Justice A, Hernán MA]
通讯作者:
Hernán MA
DOI:
10.1111/biom.12273
发表时间:
2015-06
期刊:
Biometrics
影响因子:
1.9
作者:
[Robins JM, Hernán MA, Wasserman L]
通讯作者:
Wasserman L
Ensemble learning of inverse probability weights for marginal structural modeling in large observational datasets.
大型观察数据集中边缘结构建模的反概率权重的集合学习。
DOI:
10.1002/sim.6322
发表时间:
2015-01-15
期刊:
STATISTICS IN MEDICINE
影响因子:
2
作者:
[Gruber, Susan, Logan, Roger W., Jarrin, Inmaculada, Monge, Susana, Hernan, Miguel A.]
通讯作者:
Hernan, Miguel A.
The authors respond.
作者回应。
DOI:
10.1016/j.ajp.2019.01.010
发表时间:
2019
期刊:
Asian journal of psychiatry
影响因子:
9.5
作者:
[Singh,Apala, Beniwal,RP, Bhatia,Triptish, Deshpande,SmitaN]
通讯作者:
Deshpande,SmitaN
Comparative Effectiveness Research Using Observational Data: Active Comparators to Emulate Target Trials with Inactive Comparators.
使用观察数据的比较有效性研究:主动比较器用非主动比较器模拟目标试验。
DOI:
10.13063/2327-9214.1234
发表时间:
2016
期刊:
EGEMS (Washington, DC)
影响因子:
--
作者:
[Huitfeldt,Anders, Hernan,MiguelA, Kalager,Mette, Robins,JamesM]
通讯作者:
Robins,JamesM
共 12 条
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Dynamic strategies for the clinical management of HIV disease
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Dynamic strategies for the clinical management of HIV disease
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Dynamic Strategies for the clinical management of HIV disease
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Pooling HIV Cohorts to Inform Clinical Decision
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海外基金