Evidence map›Paper›PMID 40029638›Full record

ArticleJAMA neurology2025

Sex Differences in Longitudinal Tau-PET in Preclinical Alzheimer Disease: A Meta-Analysis.

Gillian T Coughlan, Hannah M Klinger, Rory Boyle, Tobey J Betthauser, Alexa Pichet Binette, Luke Christenson, Trevor Chadwick, Oskar Hansson, Theresa M Harrison, Brian Healy and 20 more

Abstract read
In one paragraph

Article in JAMA neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 2 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

50 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Elevated temporal tau PET predicts faster cognitive decline in women than men: A meta-analysis.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Pooled it
  2. Pooled it
  3. Article
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  5. Article
  6. Independent, but not synergistic, associations ofJournal of clinical and experimental neuropsychology · 2026
    Article
  7. Article
  8. Article
  9. Sex specificity of resistance to caTAUstrophe.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  10. Article
  11. Tau-PET and CSF MTBR-tau243 comparisons validate increased tau aggregation in females.European journal of nuclear medicine and molecular imaging · 2026
    Article
  12. The Neurology of Menopause.Current neurology and neuroscience reports · 2026
    Review
  13. Article
  14. Review
  15. Article
  16. Deep learning-based MRI analysis reveals Lewy body co-pathology accelerates brain aging in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  17. Article
  18. Review
  19. Article
  20. 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

30 authors.

Gillian T CoughlanDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.
Hannah M KlingerDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.
Rory BoyleDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.
Tobey J BetthauserDepartment of Medicine, Wisconsin Alzheimer's Institute, School of Medicine and Public Health, University of Wisconsin-Madison, Madison.
Alexa Pichet BinetteClinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden and Memory Clinic, Skåne University Hospital, Malmö, Sweden.
Luke ChristensonDepartment of Radiology, Mayo Clinic Rochester, Rochester, Minnesota.
Trevor ChadwickDepartment of Neuroscience, University of California, Berkeley.
Oskar HanssonClinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden and Memory Clinic, Skåne University Hospital, Malmö, Sweden.
Theresa M HarrisonDepartment of Neuroscience, University of California, Berkeley.
Brian HealyDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.
Heidi I L JacobsDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.
Bernard HanseeuwDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.
Erin JonaitisDepartment of Medicine, Wisconsin Alzheimer's Institute, School of Medicine and Public Health, University of Wisconsin-Madison, Madison.
Clifford R JackDepartment of Radiology, Mayo Clinic Rochester, Rochester, Minnesota.
Keith A JohnsonDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.
Rebecca E LanghoughDepartment of Medicine, Wisconsin Alzheimer's Institute, School of Medicine and Public Health, University of Wisconsin-Madison, Madison.
Michael J ProperziDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.
Dorene M RentzDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.
Aaron P SchultzDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.
Ruben SmithClinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden and Memory Clinic, Skåne University Hospital, Malmö, Sweden.
Mabel SetoDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.
Sterling C JohnsonDepartment of Medicine, Wisconsin Alzheimer's Institute, School of Medicine and Public Health, University of Wisconsin-Madison, Madison.
Michelle M MielkeDepartment of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
Zahra ShirzadiDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.
Wai-Ying Wendy YauDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.
JoAnn E MansonDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, and the Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Reisa A SperlingDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.
Prashanthi VemuriDepartment of Radiology, Mayo Clinic Rochester, Rochester, Minnesota.
Rachel F BuckleyDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.
Alzheimer’s Disease Neuroimaging Initiative

Funding

Vascular factors, physical activity, and inflammation as modulators of neurodegenerative and cognitive trajectories (Project 2)P01AG036694 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI REISA A. SPERLING · 2010 to 2026
$50.2M
Research Education ComponentP30AG066518 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI KEVIN M DUFF, Lisa C Silbert · 2020 to 2026
$28.6M
Investigating Resistance and Resilience Mechanisms in Alzheimer’s DiseaseR01AG056366 · NIA · MAYO CLINIC ROCHESTER · PI PRASHANTHI VEMURI · 2017 to 2026
$7.0M
Tracking the origin of tau pathology: dovetailing (pre-)preclinical biomarker trajectoriesR01AG062559 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Heidi Irma Jacobs · 2019 to 2026
$4.8M
The wandering nerve: gateway to boost Alzheimer's disease related cognitive performanceR01AG068062 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI JACOBS, HEIDI IRMA · 2021 to 2025
$4.6M
Locus coeruleus network architecture of Alzheimer's disease vulnerabilityR01AG082006 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Heidi Irma Jacobs, Jorge Sepulcre · 2023 to 2026
$2.7M
Linking basal forebrain and entorhinal cortex vulnerability to preclinical Alzheimer's diseaseK01AG078443 · NIA · UNIVERSITY OF CALIFORNIA BERKELEY · PI Theresa M. Harrison · 2022 to 2026
$656k
Elevated systolic blood pressure, body mass index, and amyloid as drivers of tau and cognitive decline in preclinical Alzheimers disease: critical windows in mid- to late-lifeK23AG084868 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Wai-Ying Wendy Yau · 2024 to 2026
$587k
Elevated locus coeruleus metabolism as mechanism driving Alzheimer's disease pathologyR21AG074220 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI JACOBS, HEIDI IRMA · 2021 to 2022
$477k
Menopause, hormone therapy and Alzheimer's disease clinicopathology: An in vivo perspectiveK99AG083063 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI COUGHLAN, GILLIAN THERESA · 2024 to 2025
$269k
NIA NIH HHS K01 AG078443NIA NIH HHS K23 AG084868NIA NIH HHS K99 AG083063NIA NIH HHS P01 AG036694NIA NIH HHS P30 AG066518NIA NIH HHS R01 AG056366NIA NIH HHS R01 AG062559NIA NIH HHS R01 AG068062NIA NIH HHS R01 AG082006NIA NIH HHS R21 AG074220
6 · The paper itself

Abstract

Importance: Alzheimer disease (AD) predominates in females at almost twice the rate relative to males. Mounting evidence in adults without AD indicates that females exhibit higher tau deposition than age-matched males, particularly in the setting of elevated β-amyloid (Aβ), but the evidence for sex differences in tau accumulation rates is inconclusive. Objective: To examine whether female sex is associated with faster tau accumulation in the setting of high Aβ (as measured with positron emission tomography [PET]) and the moderating influence of sex on the association between APOEε4 carrier status and tau accumulation. Data Sources: This meta-analysis used data from 6 longitudinal aging and AD studies, including the Alzheimer's Disease Neuroimaging Initiative, Berkeley Aging Cohort Study, BioFINDER 1, Harvard Aging Brain Study, Mayo Clinic Study of Aging, and Wisconsin Registry for Alzheimer Prevention. Longitudinal data were collected between November 2004 and May 2022. Study Selection: Included studies required available longitudinal [18F]flortaucipir or [18F]-MK-6240 tau-PET scans, as well as baseline [11C] Pittsburgh Compound B, [18F]flutemetamol or [18F]florbetapir Aβ-PET scans. Recruitment criteria varied across studies. Analyses began on August 7, 2023, and were completed on February 5, 2024. Data Extraction and Synthesis: In each study, primary analyses extracted estimates for the sex (female or male) and the sex by baseline Aβ-PET status (high or low) association with longitudinal tau-PET using a series of mixed-effects models. Secondary mixed-effects models extracted the interaction estimate for the association of sex by APOEε4 carrier status with longitudinal tau-PET. Study-specific estimates for each mixed-effects model were then pooled in a meta-analysis, and the global fixed effect (β) and total heterogeneity (I2) across studies were estimated. This study is reported following the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline. Main Outcomes and Measures: Seven tau-PET outcomes that showed cross-sectional sex differences were examined across temporal, parietal, and occipital lobes. Results: Among 6 studies assessed, there were 1376 participants (761 [55%] female; mean [range] age at first tau scan, 71.9 [46-93] years; 401 participants [29%] with high baseline Aβ; 412 APOEε4 carriers [30%]). Among individuals with high baseline Aβ, female sex was associated with faster tau accumulation localized to inferior temporal (β = -0.14; 95% CI, -0.22 to -0.06; P = .009) temporal fusiform (β = -0.13; 95% CI, -0.23 to -0.04; P = .02), and lateral occipital regions (β = -0.15; 95% CI, -0.24 to -0.06; P = .009) compared with male sex. Among APOEε4 carriers, female sex was associated with faster inferior-temporal tau accumulation (β = -0.10; 95% CI, -0.16 to -0.03; P = .01). Conclusions and Relevance: These findings suggest that sex differences in the pathological progression of AD call for sex-specific timing considerations when administrating anti-Aβ and anti-tau treatments.

Identifiers

PMID40029638
PMCPMC11877413

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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.