Evidence map›Paper›PMID 42639240›Full record

ArticleCureus2026

Chronic Arsenic Toxicity Without Classical Cutaneous Manifestations: A Case Report.

Sunil K Jyani, Ravi Godara, Shrikant Choudhary, Raman Sharma

Abstract readCase Reports
In one paragraph

Article in Cureus, 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

4 authors.

Sunil K JyaniGeriatric Medicine, Mahatma Gandhi University of Medical Sciences and Technology, Jaipur, IND.
Ravi GodaraInternal Medicine, Mahatma Gandhi University of Medical Sciences and Technology, Jaipur, IND.
Shrikant ChoudharyInternal Medicine, Mahatma Gandhi University of Medical Sciences and Technology, Jaipur, IND.
Raman SharmaInternal Medicine, Mahatma Gandhi University of Medical Sciences and Technology, Jaipur, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic arsenic toxicity can present with gastrointestinal and neurological symptoms, and diagnosis is often difficult without characteristic cutaneous features. This report describes a 55-year-old woman with a three-month history of progressively worsening small bowel-type diarrhea that progressed to frequent episodes of melena. She developed painful stocking-distribution peripheral neuropathy with slipper slippage, followed by progressive lower-limb weakness that ultimately resulted in loss of ambulation. She had a seven-year history of unsupervised use of herbal preparations and Ayurvedic Bhasma. Despite comprehensive evaluation, the diagnosis remained unclear because classical cutaneous signs of chronic arsenicosis were absent. A thorough medication history led to heavy metal screening (urinary arsenic level), which confirmed arsenic toxicity. Discontinuation of the suspected herbal preparations and supportive care, without chelation therapy, resulted in complete resolution of gastrointestinal symptoms and anemia, gradual neurological recovery, and restoration of independent ambulation. This case highlights the need to consider chronic arsenic toxicity in patients with unexplained chronic diarrhea and painful peripheral neuropathy, even when characteristic skin findings are absent. A detailed inquiry into the use of complementary and alternative medicine is crucial, as early identification and removal of the source of exposure can facilitate significant clinical recovery.

Indexed as

arsenicosisbhasmachronic arsenic toxicitycutaneous manifestationherbal medicineperipheral neuropathy

Identifiers

PMID42639240
PMCPMC13502477

What OpenQuestion holds

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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.