Evidence map›Paper›PMID 35979131›Full record

ArticleWorld journal of clinical cases2022

Unilateral adrenal tuberculosis whose computed tomography imaging characteristics mimic a malignant tumor: A case report.

Hui Liu, Tian-Jiao Tang, Zhen-Mei An, Ye-Rong Yu

Open access · diamondAbstract readCase Reports
In one paragraph

Article in World journal of clinical cases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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  4. Review
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 at 1 institution in 1 country.

Hui LiuDepartment of General Practice, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China.
Tian-Jiao TangThe Center of Gerontology and Geriatrics, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China.
Zhen-Mei AnDepartment of Endocrinology and Metabolism, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China.
Ye-Rong YuDepartment of Endocrinology and Metabolism, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China. yerongyu@scu.edu.cn.
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdrenal tuberculosis usually presents with bilateral involvement. It has special characteristics in computed tomography (CT) images, such as small size, low attenuation in the center, and peripheral rim enhancement, which differ from those of primary tumors. CASE SUMMARY: A 42-year-old female presented to the hospital with low back pain. She had been diagnosed with hypertension as well as pulmonary and cerebral tuberculosis but denied having any fever, fatigue, anorexia, night sweats, cough, or weight loss. Abdominal CT revealed an irregular 6.0 cm × 4.5 cm mass with uneven density in the right adrenal gland, while the left adrenal gland was normal. No abnormalities were observed in plasma total cortisol (8 am), adrenocorticotropic hormone, aldosterone/renin ratio, blood catecholamines, or urine catecholamines. A fine-needle aspiration biopsy of the right adrenal gland provided evidence of tuberculosis. After three years of anti-tuberculosis treatments, the large mass in the right adrenal gland was reduced to a slight enlargement.

conclusionThis is a case of unilateral adrenal tuberculosis with CT imaging characteristics mimicking those of a malignant tumor. Extended anti-tuberculosis therapy is recommended in such cases.

Indexed as

Adrenal incidentalomaAdrenal tuberculosisAnti-tuberculosis therapyCase reportFine-needle aspiration biopsy

Identifiers

PMID35979131
PMCPMC9258357
OpenAlexW4282015604

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.