Evidence map›Paper›PMID 42058803›Full record

ArticleWorld journal of methodology2026

Clinical insights into levothyroxine overdose: A systematic review.

Fateen Ata, Haseeb Ahmad Khan, Aamna Kashif, Adeel Ahmad Khan, Rabia Fawad, Hafiz Waqas Younas, Bilal Ahmed, Huzaifa Javed

Abstract read
In one paragraph

Article in World journal of methodology, 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
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0citing papers in PubMed
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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

8 authors.

Fateen AtaInternal Medicine, Cleveland Clinic Foundation, Cleveland, OH 44118, United States. docfateenata@gmail.com.
Haseeb Ahmad KhanInternal Medicine, The Rotherham NHS Foundation Trust, Yorkshire S60 2UD, United Kingdom.
Aamna KashifMedicine, Faisalabad Medical University, Faisalabad 38000, Punjab, Pakistan.
Adeel Ahmad KhanInternal Medicine, Cleveland Clinic Akron General Hospital, Akron, OH 44301, United States.
Rabia FawadMedicine, Niazi Medical and Dental college, Sargodha 40100, Punjab, Pakistan.
Hafiz Waqas YounasEmergency Medicine, NHS Stockport Foundation Trust, Manchester SK2 7JE, United Kingdom.
Bilal AhmedEndocrinology, University Hospital of Coventry and Warwickshire, West Midlands CV2 2DX, United Kingdom.
Huzaifa JavedInternal Medicine, Griffin Health, Derby, CT 06418, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLevothyroxine (LTX) is one of the most commonly used medications due to the high prevalence of hypothyroidism in various age groups. Overdose (OD) with LTX, intentional or unintentional, is rare but can have clinically significant and even life-threatening consequences. Data on clinical outcomes of patients with LTX OD are limited, and guidelines on its management are suboptimal.

aimTo compile all available data on the clinical characteristics, management, and outcomes of patients with LTX OD.

methodsA systematic literature search was conducted to identify English-language articles through PubMed, Scopus, and EMBASE that reported primary patient data on LTX OD in all age groups. All analyses were performed using STATA-18.

resultsForty-nine studies, comprising 95 individual cases and six larger retrospective studies (

conclusionThis study provides the first comprehensive dataset on LTX OD. Patients with non-suicidal/accidental LTX OD mainly belong to the pediatric age group, while those with suicidal intent belong to the older age group. Despite the risk of toxicity with ingestion of high doses of LTX, mortality is extremely rare.

Indexed as

LevothyroxineOverdoseSuicideThyroidThyroxineToxicity

Identifiers

PMID42058803
PMCPMC13121991

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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.