Evidence map›Paper›PMID 31062392›Full record

ArticleStatistics in medicine2019

Bias induced by ignoring double truncation inherent in autopsy-confirmed survival studies of neurodegenerative diseases.

Lior Rennert, Sharon X Xie

Abstract read
In one paragraph

Article in Statistics in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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

5 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Different cohort, disparate results: Selection bias is a key factor in autopsy cohorts.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  5. 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

2 authors.

Lior RennertDepartment of Public Health Sciences, Clemson University, Clemson, SC.
Sharon X XieDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.ORCID 0000-0002-7886-4103

Funding

Transgenic Mouse Models of Tau PathologiesP01AG017586 · NIA · UNIVERSITY OF PENNSYLVANIA · PI LEE, VIRGINIA M · 2000 to 2021
$37.3M
UPenn ADCC Biomarker CoreP30AG010124 · NIA · UNIVERSITY OF PENNSYLVANIA · PI XIE, SHARON XIANGWEN · 1991 to 2020
$35.1M
Project IV: "Alpha-Synuclein Strains & Diverse Synucleinopathies"P50NS053488 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI TROJANOWSKI, JOHN Q. · 2007 to 2017
$20.9M
Mental Health Biostatistics Training ProgramT32MH065218 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI BILKER, WARREN B. · 2003 to 2018
$1.3M
Efficient statistical methods for assessing dementia risk in Parkinson's diseaseR01NS102324 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI WEINTRAUB, DANIEL, XIE, SHARON XIANGWEN · 2017 to 2020
$1.3M
NIA NIH HHS P01 AG017586NIA NIH HHS P30 AG010124NIMH NIH HHS T32 MH065218NINDS NIH HHS P50 NS053488NINDS NIH HHS R01 NS102324
6 · The paper itself

Abstract

Neurodegenerative diseases require an autopsy for confirmation of diagnosis. When death is the event of interest, studies based on autopsy-confirmed diagnoses result in right truncated survival times because individuals who live past the end of study date do not receive a pathological diagnosis and are therefore not included in the sample. Furthermore, many studies of neurodegenerative diseases recruit subjects only after the onset of the disease, which may result in left truncated survival times. Therefore, double truncation, the simultaneous presence of left and right truncation, is inherent in many autopsy-confirmed survival studies of neurodegenerative diseases. The main focus of this paper is to inform about the inherent double truncation in these studies and demonstrate how to properly estimate and compare survival distribution functions in this setting. We do so by conducting a case study of subjects with autopsy-confirmed Alzheimer's disease and frontotemporal lobar degeneration. This case study is supported by extensive simulation studies, which provide several new contributions to the literature on survival distribution estimation in the context of double truncation.

Indexed as

BiasProportional Hazards ModelsAlzheimer DiseaseAutopsyComputer SimulationFrontotemporal Lobar DegenerationHumansNeurodegenerative DiseasesSurvival Analysisneurodegenerative diseaseselection biassurvivaltruncation

Identifiers

PMID31062392
PMCPMC6625863

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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.