Evidence map›Paper›PMID 36496454›Full record

ArticleNature communications2022

Causal inference in medical records and complementary systems pharmacology for metformin drug repurposing towards dementia.

Marie-Laure Charpignon, Bella Vakulenko-Lagun, Bang Zheng, Colin Magdamo, Bowen Su, Kyle Evans, Steve Rodriguez, Artem Sokolov, Sarah Boswell, Yi-Han Sheu and 10 more

Open access · goldFull text read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 2% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Pooled it
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  7. Review
  8. A Deep Subgrouping Framework for Precision Drug Repurposing via Emulating Clinical Trials on Real-world Patient Data.KDD : proceedings. International Conference on Knowledge Discovery & Data Mining · 2025
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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

20 authors at 9 institutions in 4 countries.

Marie-Laure Charpignon *Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-5786-2627
Bella Vakulenko-Lagun *Department of Statistics, University of Haifa, Mt Carmel, Haifa, Israel.
Bang Zheng *Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, UK.ORCID http://orcid.org/0000-0003-1814-6692
Colin MagdamoDepartment of Neurology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA.
Bowen SuDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Kyle EvansDepartment of Neurology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA.
Steve RodriguezDepartment of Neurology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA.
Artem SokolovLaboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-8056-0504
Sarah BoswellLaboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-3118-3378
Yi-Han SheuDepartment of Psychiatry, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA.
Melek SomaiInception Labs, Collaborative for Health Delivery Sciences, Medical College of Wisconsin, Wauwatosa, WI, USA.
Lefkos MiddletonAgeing Epidemiology Research Unit, School of Public Health, Imperial College London, London, UK.
Bradley T HymanDepartment of Neurology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-7959-9401
Rebecca A BetenskyDepartment of Biostatistics, School of Global Public Health, New York University, New York, NY, USA.
Stan N FinkelsteinInstitute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA, USA.
Roy E WelschInstitute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA, USA.
Ioanna TzoulakiDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK. i.tzoulaki@imperial.ac.uk.ORCID http://orcid.org/0000-0002-4275-9328
Deborah BlackerDepartment of Psychiatry, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA. dblacker@mgh.harvard.edu.
Sudeshna DasDepartment of Neurology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA. sdas5@mgh.harvard.edu.ORCID http://orcid.org/0000-0002-9486-6811
Mark W AlbersDepartment of Neurology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA. albers.mark@mgh.harvard.edu.ORCID http://orcid.org/0000-0001-7855-3455
Harvard University · USImperial College London · GBMassachusetts Institute of Technology · USBeth Israel Deaconess Medical Center · USCarmel (Israel) · ILImperial College Healthcare NHS Trust · GBMedical College of Wisconsin · USNew York University · USUniversity of Ioannina · GR

Funding

Research Education ComponentP30AG062421 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Christine S Ritchie · 2019 to 2026
$36.5M
Research Education ComponentP30AG066512 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Mary Sherman Mittelman · 2020 to 2026
$28.4M
Systems Pharmacology of Therapeutic and Adverse Responses to ImmuneCheckpoint and Small Molecule DrugsU54CA225088 · NCI · HARVARD MEDICAL SCHOOL · PI HAIGIS, MARCIA · 2018 to 2022
$10.8M
Harnessing Diverse Bioinformatic Approaches To Repurpose Drugs For Alzheimers Disease And Related DementiasR01AG058063 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI MARK W ALBERS, PETER Karl SORGER · 2018 to 2026
$7.8M
NCI NIH HHS U54 CA225088NIA NIH HHS P30 AG062421NIA NIH HHS P30 AG066512NIA NIH HHS R01 AG058063
6 · The paper itself

Abstract

Metformin, a diabetes drug with anti-aging cellular responses, has complex actions that may alter dementia onset. Mixed results are emerging from prior observational studies. To address this complexity, we deploy a causal inference approach accounting for the competing risk of death in emulated clinical trials using two distinct electronic health record systems. In intention-to-treat analyses, metformin use associates with lower hazard of all-cause mortality and lower cause-specific hazard of dementia onset, after accounting for prolonged survival, relative to sulfonylureas. In parallel systems pharmacology studies, the expression of two AD-related proteins, APOE and SPP1, was suppressed by pharmacologic concentrations of metformin in differentiated human neural cells, relative to a sulfonylurea. Together, our findings suggest that metformin might reduce the risk of dementia in diabetes patients through mechanisms beyond glycemic control, and that SPP1 is a candidate biomarker for metformin's action in the brain.

Indexed as

DementiaDiabetes Mellitus, Type 2MetforminDrug RepositioningHumansHypoglycemic AgentsMedical RecordsNetwork PharmacologySulfonylurea CompoundsHypoglycemic AgentsMetforminSulfonylurea Compounds

Identifiers

PMID36496454
PMCPMC9741618
OpenAlexW4311665767

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.