Evidence map›Paper›PMID 41531683›Full record

ArticleClinical case reports2026

Delayed Diagnosis of Tuberous Sclerosis Complex: A Case Report of Abdominal Distension, Pain, and Severe Anemia.

Hamim Rusheke, Tawfeeq I Sangey, Humphrey E Kiwelu, Hasna N Toroha

Abstract read
In one paragraph

Article in Clinical case reports, 2026. 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.

  1. 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

4 authors.

Hamim RushekeSchool of Medicine and Dentistry University of Dodoma Dodoma Tanzania.ORCID https://orcid.org/0000-0002-3865-139X
Tawfeeq I SangeyDepartment of Radiology TMJ Super Specialized Polyclinic Dar es Salaam Tanzania.ORCID https://orcid.org/0000-0001-6483-7924
Humphrey E KiweluDepartment of Radiology Benjamin Mkapa Hospital Dodoma Tanzania.
Hasna N TorohaDepartment of Radiology Benjamin Mkapa Hospital Dodoma Tanzania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a case of a 31-year-old woman with progressive abdominal distension, bilateral loin pain, and severe anemia requiring multiple blood transfusions. She was referred for a computed tomography (CT) scan of bilateral renal masses before potential surgery. The scan revealed large renal masses with fat attenuation, diagnosed as angiomyolipomas. Additionally, suspicious facial lesions raised concerns for a neurocutaneous disorder, prompting further imaging. A non-contrasted CT of the head showed multiple calcified subependymal nodules, leading to a delayed diagnosis of tuberous sclerosis complex (TSC). This case highlights the importance of a multidisciplinary approach for early TSC identification due to its multi-organ involvement. Timely detection is crucial for monitoring progression and reducing long-term complications. We aim to raise clinicians' awareness of this uncommon late presentation of TSC, its cutaneous markers, and the role of imaging in early detection, even in patients without childhood neurological symptoms. The purpose of this case report is to alert clinicians to this rare late presentation of TSC, raise awareness of the cutaneous markers of TSC, and underscore the role of imaging in the early detection of the disease, particularly in those patients who did not exhibit neurological symptoms during their childhood. Furthermore, this case illustrates the remarkable variability in the manifestation of this disorder, both in terms of the age at which symptoms appear and the severity of the illness.

Indexed as

angiomyolipomacortical tubersfacial angiofibromasubependymal nodulestuberous sclerosis complex

Identifiers

PMID41531683
PMCPMC12794277

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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.