Evidence map›Paper›PMID 42638881›Full record

ArticleFrontiers in medicine2026

Case Report: Nephrotic syndrome with minimal change disease during anti-tuberculosis treatment and tiopronin use.

Heng Liao, Fei Yan, Xingxia Liu

Abstract readCase Reports
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Heng LiaoDepartment of Pharmacy, The Fourth People's Hospital of Chengdu, Chengdu, China.
Fei YanDepartment of Clinical Laboratory, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.
Xingxia LiuDepartment of Pharmacy, Sichuan Provincial People's Hospital, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hepatoprotective agents are often added during prolonged anti-tuberculosis (anti-TB) therapy, and medication-associated nephrotic syndrome may be under-recognized. Case: A 31-year-old man with pulmonary tuberculosis received long-term anti-TB therapy (rifapentine, isoniazid, and ethambutol) and continuous tiopronin (0.2 g three times daily). He developed edema, foamy urine, and oliguria. Pre-admission tests showed proteinuria (3+), serum albumin 19.6 g/L, and serum creatinine 161 μmol/L. On admission, urine protein was 4+, serum albumin 20.6 g/L, serum creatinine 142.9 μmol/L, and estimated glomerular filtration rate (eGFR) 58.86 mL/min, with hyperlipidemia. Kidney biopsy confirmed minimal change disease (MCD). Interventions and outcome: All anti-TB drugs and tiopronin were discontinued, and tacrolimus was initiated after biopsy. Anti-TB therapy was reintroduced as isoniazid monotherapy. Renal function improved rapidly (serum creatinine 55 μmol/L; eGFR 128.1 mL/min at discharge), and dipstick proteinuria became negative on short-term follow-up. The tacrolimus trough concentration was 3.6 ng/mL. Conclusion: The improvement after withdrawal of multiple suspected agents and continued recovery after reintroduction of isoniazid alone support a drug-associated etiology, but do not allow definitive attribution to a single causative drug. Routine renal monitoring should accompany hepatoprotective add-on therapy during anti-TB treatment.

Indexed as

anti-tuberculosis therapydrug-associated kidney diseasedrug withdrawalminimal change diseasenephrotic syndrometacrolimus therapeutic drug monitoringtiopronin

Identifiers

PMID42638881
PMCPMC13500293

What OpenQuestion 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 OpenQuestion graph.