Evidence map›Paper›PMID 33476879›Full record

Observational studyParkinsonism & related disorders2021

Estimating the causal effects of modifiable, non-genetic factors on Huntington disease progression using propensity score weighting.

Beth Ann Griffin, Marika Suttorp Booth, Monica Busse, Edward J Wild, Claude Setodji, John H Warner, Cristina Sampaio, Amrita Mohan

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Parkinsonism & related disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 48% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Review
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 at 4 institutions in 2 countries.

Beth Ann GriffinRAND Center for Causal Inference, RAND Corporation, 1200, South Hayes Street, Arlington, VA, USA. Electronic address: bethg@rand.org.
Marika Suttorp BoothRAND Corporation, 1776, Main Street, Santa Monica, CA, USA.
Monica BusseCentre for Trials Research, Cardiff University, Neuadd Merionydd, Heath Park, CF14 4XN, Cardiff, UK.
Edward J WildHuntington's Disease Centre, UCL Institute of Neurology, London, WC1N 3BG, UK.
Claude SetodjiRAND Center for Causal Inference, RAND Corporation, 4570, Fifth Ave #600, Pittsburgh, PA, USA.
John H WarnerCHDI Management/CHDI Foundation, 155 Village Boulevard, Suite 200, Princeton, NJ, USA.
Cristina SampaioCHDI Management/CHDI Foundation, 155 Village Boulevard, Suite 200, Princeton, NJ, USA.
Amrita MohanCHDI Management/CHDI Foundation, 155 Village Boulevard, Suite 200, Princeton, NJ, USA.
CHDI Foundation · USRAND Corporation · USCardiff University · GBHuntington's Disease Association · GB

Funding

Improving Causal Inference Tools for Addiction ResearchersR01DA045049 · NIDA · RAND CORPORATION · PI GRIFFIN, BETH ANN, MCCAFFREY, DANIEL F · 2018 to 2020
$2.4M
Medical Research Council MR/M008592/1NIDA NIH HHS R01 DA045049
6 · The paper itself

Abstract

introductionDespite being genetically inherited, it is unclear how non-genetic factors (e.g., substance use, employment) might contribute to the progression and severity of Huntington's disease (HD).

methodsWe used propensity score (PS) weighting in a large (n = 2914) longitudinal dataset (Enroll-HD) to examine the impact of education, employment status, and use of tobacco, alcohol, and recreational and therapeutic drugs on HD progression. Each factor was investigated in isolation while controlling for 19 other factors to ensure that groups were balanced at baseline on potential confounders using PS weights. Outcomes were compared several years later using doubly robust models.

resultsOur results highlighted cases where modifiable (non-genetic) factors - namely light and moderate alcohol use and employment - would have been associated with HD progression in models that did not use PS weights to control for baseline imbalances. These associations did not hold once we applied PS weights to balance baseline groups. We also found potential evidence of a protective effect of substance use (primarily marijuana use), and that those who needed antidepressant treatment were likely to progress faster than non-users.

conclusionsOur study is the first to examine the effect of non-genetic factors on HD using a novel application of PS weighting. We show that previously-reported associated factors - including light and moderate alcohol use - are reduced and no longer significantly linked to HD progression after PS weighting. This indicates the potential value of PS weighting in examining non-genetic factors contributing to HD as well as in addressing the known biases that occur with observational data.

Indexed as

Disease ProgressionPropensity ScoreAlcohol DrinkingAntidepressive AgentsCausalityEmploymentHumansHuntington DiseaseLongitudinal StudiesMarijuana UseRegistriesAntidepressive AgentsDisease progressionHuntington's diseaseNon-genetic factorsObservational studiesPropensity scores

Identifiers

PMID33476879
PMCPMC7949328
OpenAlexW3119024716

What OpenQuestion holds

Textmetadata
LicenceTDM
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.