Evidence mapPaperPMID 36712313Full record

ArticleKidney medicine2023

Cannabis Use and CKD: Epidemiological Associations and Mendelian Randomization.

Sergio Dellepiane, Ishan Paranjpe, Madhumitha Rajagopal, Samir Kamat, Ross O'Hagan, Faris Gulamali, Joshua L Rein, Alexander W Charney, Ron Do, Steven Coca and 2 more

Open access · goldAbstract read
In one paragraph

Article in Kidney medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. 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

12 authors at 1 institution in 1 country.

Sergio DellepianeMount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY.
Ishan ParanjpeMount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY.
Madhumitha RajagopalMount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY.
Samir KamatMount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY.
Ross O'HaganMount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY.
Faris GulamaliMount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY.
Joshua L ReinDepartment of Medicine, Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, NY.
Alexander W CharneyMount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY.
Ron DoDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY.
Steven CocaHasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY.
Benjamin S GlicksbergMount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY.
Girish N NadkarniMount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY.
Icahn School of Medicine at Mount Sinai · US

Funding

Conduits: Mount Sinai Health System Translational Science HubUL1TR004419 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Rosalind J Wright · 2022 to 2026
$46.4M
MOUNT SINAI MEDICAL SCIENTIST TRAINING PROGRAMT32GM007280 · NIGMS · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI BARON, MARGARET H · 1985 to 2021
$22.8M
Prediction of Major Adverse Kidney Events and Recovery (Pred-MAKER) in COVID-19 PatientsR01DK118222 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Evren U. AZELOGLU · 2018 to 2026
$4.3M
Elucidating Genetic and Environmental Second Hits in Racial and Ethnic Minorities with APOL1 High-Risk GenotypesR01DK127139 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI NADKARNI, GIRISH NITIN · 2021 to 2025
$4.0M
Towards an integrated map of causal connections for common, complex diseasesR35GM124836 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Ron Do · 2017 to 2026
$3.9M
Elucidating hereditary transthyretin-mediated heart failure risk using machine learning, polygenic risk and recall by genotype approaches in African ancestry individualsR01HL155915 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DO, RON, NADKARNI, GIRISH NITIN · 2021 to 2024
$3.4M
COVID and Translational Science supercomputer (CATS)S10OD030463 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2021 to 2021
$2.0M
Big Omics Data Engine 2 SupercomputerS10OD026880 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2019 to 2019
$2.0M
Resolving Causal Influences Among Correlated Risk Biomarkers for Coronary Artery DiseaseR01HL139865 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DO, RON · 2018 to 2021
$1.7M
Artificial Intelligence to Predict Outcomes in Patients with Acute Kidney Injury on Continuous Renal Replacement TherapyR56DK126930 · NIDDK · UNIVERSITY OF KENTUCKY · PI NADKARNI, GIRISH NITIN, NEYRA, JAVIER A. · 2020 to 2020
$100k
NCATS NIH HHS UL1 TR004419NHLBI NIH HHS R01 HL139865NHLBI NIH HHS R01 HL155915NIDDK NIH HHS R01 DK118222NIDDK NIH HHS R01 DK127139NIDDK NIH HHS R56 DK126930NIGMS NIH HHS R35 GM124836NIGMS NIH HHS T32 GM007280NIH HHS S10 OD026880NIH HHS S10 OD030463
6 · The paper itself

Abstract

Rationale & Objective: The association between cannabis use and chronic kidney disease (CKD) is controversial. We aimed to assess association of CKD with cannabis use in a large cohort study and then assess causality using Mendelian randomization with a genome-wide association study (GWAS). Study Design: Retrospective cohort study and genome-wide association study. Setting & Participants: The retrospective study was conducted on the All of Us cohort (N=223,354). Genetic instruments for cannabis use disorder were identified from 3 GWAS: the Psychiatric Genomics Consortium Substance Use Disorders, iPSYCH, and deCODE (N=384,032). Association between genetic instruments and CKD was investigated in the CKDGen GWAS (N > 1.2 million). Exposure: Cannabis consumption. Outcomes: CKD outcomes included: cystatin-C and creatinine-based kidney function, proteinuria, and blood urea nitrogen. Analytical Approach: We conducted association analyses to test for frequency of cannabis use and CKD. To evaluate causality, we performed a 2-sample Mendelian randomization. Results: In the retrospective study, compared to former users, less than monthly (OR, 1.01; 95% CI, 0.87-1.18; Limitations: Likely underreporting of cannabis use. In Mendelian randomization, genetic instruments were identified in the GWAS that included individuals primarily of European ancestry. Conclusions: Despite the epidemiological association between cannabis use and CKD, there was no evidence of a causal effect, indicating confounding in observational studies.

Indexed as

Cannabischronic kidney diseaseMendelian randomization

Identifiers

PMID36712313
PMCPMC9879977
OpenAlexW4311127151

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.