Evidence map›Paper›PMID 41384162›Full record

ArticleLe infezioni in medicina2025

Expanding the causes of Fever of Unknown Origin in immunocompromised patients: report of two cases highlighting the role of SARS-CoV-2.

Carmelina Calitri, Francesca Romano, Andrea Perinzano, Barbara Rizzello, Marco Domenico Carbutto, Fabio Antonino Ranzani, Roberto Angilletta, Marco Mussa, Andrea Calcagno

Abstract readCase Reports
In one paragraph

Article in Le infezioni in medicina, 2025. 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

9 authors.

Carmelina CalitriDepartment of Infectious Diseases and Tropical Medicine, Amedeo di Savoia Hospital, University of Turin, Turin, Italy.
Francesca RomanoDepartment of Infectious Diseases and Tropical Medicine, Amedeo di Savoia Hospital, University of Turin, Turin, Italy.
Andrea PerinzanoDepartment of Infectious Diseases and Tropical Medicine, Amedeo di Savoia Hospital, University of Turin, Turin, Italy.
Barbara RizzelloDepartment of Infectious Diseases and Tropical Medicine, Amedeo di Savoia Hospital, University of Turin, Turin, Italy.
Marco Domenico CarbuttoDepartment of Infectious Diseases and Tropical Medicine, Amedeo di Savoia Hospital, University of Turin, Turin, Italy.
Fabio Antonino RanzaniDepartment of Infectious Diseases and Tropical Medicine, Amedeo di Savoia Hospital, University of Turin, Turin, Italy.
Roberto AngillettaDepartment of Infectious Diseases and Tropical Medicine, Amedeo di Savoia Hospital, University of Turin, Turin, Italy.
Marco MussaDepartment of Infectious Diseases and Tropical Medicine, Amedeo di Savoia Hospital, University of Turin, Turin, Italy.
Andrea CalcagnoDepartment of Infectious Diseases and Tropical Medicine, Amedeo di Savoia Hospital, University of Turin, Turin, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fever of Unknown Origin (FUO) remains a diagnostic challenge for clinicians, with multiple infectious and non-infectious etiologies. SARS-CoV-2 can determine a prolonged viral shedding in the immunocompromised host, firstly in those receiving B-cell targeted therapies, being responsible of persistent infection which may configure as a FUO. We report two cases of long-lasting fever in patients with multiple sclerosis and B-cell depletion, finally diagnosed as COVID-19. We suggest the inclusion of SARS-CoV-2 testing in the differential diagnosis of FUO.

Indexed as

B-cell depletionFUOimmunocompromised hostSARS-CoV-2

Identifiers

PMID41384162
PMCPMC12695171

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.