Using National COVID cohort collaborative (N3C) data to explore impact of COVID-19 infection on kidney function in patients receiving lithium therapy.

Yujia Tian, Anastasia K Yocum, Jinju Li, Yongqun Oliver He, Rachel L Richesson, Melvin G McInnis

Abstract read

In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

From fragmented records to living evidence: health system-governed, artificial intelligence-driven, continuously updated real-world clinical data from Truveta.JAMIA open · 2026
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

6 authors.

Yujia TianDepartment of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, USA.

Anastasia K YocumDepartment of Psychiatry, University of Michigan Medical School, Ann Arbor, MI, USA.

Jinju LiCenter for Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA.

Yongqun Oliver HeDepartment of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, USA.

Rachel L RichessonDepartment of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, USA.

Melvin G McInnisDepartment of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lithium is a drug primarily used to treat psychiatric disorders and has shown significant efficacy in treating bipolar disorder (BD) and major depressive disorder (MDD). Although lithium can stabilize emotional fluctuations and prevent the onset of depressive and manic episodes, case reports of patients treated with lithium developing kidney dysfunction after being infected with SARS-CoV-2 emerged during the COVID-19 pandemic. We used the National COVID Cohort Collaborative (N3C) dataset to investigate the relationship between patients with lithium exposure and with SAR-Co-V-2 infection, and kidney dysfunction. Using data from March 1, 2021, to September 30, 2022, patients were classified as whether they were infected with SARS-CoV-2. We used the estimated glomerular filtration rate (eGFR) to observe whether there are significant differences between the two groups. Our findings suggest that the impact of lithium treatment and COVID-19 on kidney function may not be significant, consistent with most other studies' findings.

Indexed as

COVID-19KidneyKidney DiseasesLithium CompoundsBipolar DisorderCohort StudiesFemaleGlomerular Filtration RateHumansMaleMiddle AgedSARS-CoV-2Lithium Compounds

Identifiers

PMID41726408

PMCPMC12919461

What Socratic holds

Textmetadata

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.