Evidence map›Paper›PMID 35846931›Full record

ArticleClinical case reports2022

SARS-CoV-2, HIV, and

Marius Paulin Ngouanom Kuate, Felix Bongomin, Roland Ndip Ndip

Open access · goldAbstract readCase Reports
In one paragraph

Article in Clinical case reports, 2022. 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
1.1field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. SARS-CoV-2, HIV, andClinical case reports · 2022
    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

3 authors at 2 institutions in 2 countries.

Marius Paulin Ngouanom KuateDepartment of Microbiology and Parasitology, Faculty of Science University of Buea Buea Cameroon.ORCID https://orcid.org/0000-0003-2745-0450
Felix BongominDepartment of Medical Microbiology and Immunology, Faculty of Medicine Gulu University Gulu Uganda.
Roland Ndip NdipDepartment of Microbiology and Parasitology, Faculty of Science University of Buea Buea Cameroon.
University of Buea · CMGulu University · UG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB)-related death has increased for the first time in a decade due to the coronavirus disease 2019 (COVID-19), globally. People living with HIV (PLWHIV) might be at a higher risk of developing COVID-19-related complications. Herein, we describe the first case of a patient surviving from SARS-CoV-2-TB-HIV triple co-infection in Cameroon. A 36-year-old Cameroonian woman presented at the emergency unit of the Jamot Hospital, Yaoundé with symptoms of anorexia, productive cough, weight loss, and fever. The SARS-CoV-2 rapid antigen test on nasopharyngeal sample was positive. Chest X-ray showed bilateral parenchymal and tracheal calcifications most consistent with prior pulmonary histoplasmosis, varicella, or TB. She was tested HIV positive, and the sputum sample tested positive for TB on auramine staining. TB therapy (rifampicin, isoniazid, pyrazinamide, and ethambutol) and COVID-19 treatment were initiated, and the symptoms improved after 2 weeks of treatment. The SARS-CoV-2 rapid antigen and real-time polymerase chain reaction tests were negative after 2 weeks. She was discharged home on antiretroviral therapy and TB therapy. Coinfection with both TB, HIV, and SARS-CoV-2 may be common in Cameroon but not reported. The similar clinical features of COVID-19 and TB usually lead to misdiagnosis. Early diagnosis and initiation of appropriate treatment improve outcome.

Indexed as

CameroonSARS‐CoV‐2TBtriple coinfection

Identifiers

PMID35846931
PMCPMC9280753
OpenAlexW4285405371

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.