Evidence map›Paper›PMID 38681434›Full record

ArticleCureus2024

Rare Case of Lower Gastrointestinal Bleeding Secondary to Miliary Tuberculosis in the United States.

Marta B Sekh, Alexa B Jack, Danielle A Rowe, Nitori G Henderson, Michael R Zemaitis

Abstract readCase Reports
In one paragraph

Article in Cureus, 2024. 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

5 authors.

Marta B SekhMedicine, College of Medicine, American University of Antigua, Osbourn, ATG.
Alexa B JackMedicine, College of Medicine, American University of Antigua, Osbourn, ATG.
Danielle A RoweMedicine, College of Medicine, American University of Antigua, Osbourn, ATG.
Nitori G HendersonMedicine, St. George's University School of Medicine, St. George's, GRD.
Michael R ZemaitisGeneral Surgery, Richmond University Medical Center, New York City, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) remains a significant global health challenge. Miliary TB is a rare manifestation of TB that involves systemic lymphohematogenous dissemination of infection and presents diagnostic challenges due to its often asymptomatic or non-specific nature. This case report documents a rare occurrence of gastrointestinal (GI) bleeding secondary to miliary TB without pulmonary symptoms in an 81-year-old Filipino-American male living in the United States. Extensive imaging studies revealed a mass in the right colon with multiple bleeding vessels draped around it; it was not amendable to treatment with embolization and required right hemicolectomy with end ileostomy. The pathology report of the excised mass demonstrated miliary TB with necrotizing granulomas and granulomatous lymphadenopathy involving 23 lymph nodes. The patient was started on anti-tuberculosis medical management; however, the patient remained clinically unstable and expired on postoperative day 39. This case highlights the importance of the heightened clinical awareness required during times of globalization and in regions with dense immigrant populations. We aim to delineate the clinical understanding of gastrointestinal TB (GITB) and review possible indications for surgical management. We aim to help reduce diagnostic delay, therefore improving patient outcomes and limiting the spread of disease.

Indexed as

abdominal tbextrapulmonary tuberculosis (eptb)gastrointestinal tuberculosis (gitb)lower gastrointestinal bleeding secondary to tuberculosismiliary tb

Identifiers

PMID38681434
PMCPMC11056080

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.