Evidence map›Paper›PMID 35935759›Full record

ArticleFrontiers in medicine2022

Case report: Successful outcome of COVID-19 in the context of autologous hematopoietic stem cell transplantation: The impact of the anti-SARS-CoV-2 vaccine and early remdesivir.

Angioletta Lasagna, Antonio Piralla, Simona Secondino, Paolo Sacchi, Fausto Baldanti, Raffaele Bruno, Paolo Pedrazzoli

Open access · goldAbstract readCase Reports
In one paragraph

Article in Frontiers in medicine, 2022. 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, top 86% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

7 authors at 2 institutions in 1 country.

Angioletta LasagnaMedical Oncology Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Antonio PirallaMicrobiology and Virology Department, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Simona SecondinoMedical Oncology Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Paolo SacchiDivision of Infectious Diseases I, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Fausto BaldantiMicrobiology and Virology Department, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Raffaele BrunoDivision of Infectious Diseases I, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Paolo PedrazzoliMedical Oncology Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Policlinico San Matteo Fondazione · ITIstituti di Ricovero e Cura a Carattere Scientifico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease (COVID-19) in patients undergoing hematopoietic stem cell transplantation (HSCT) is a major issue. None of the published papers have reported data on the outcome of HSCT patients with COVID-19 according to the vaccination status and the short course of remdesivir (RDV). Therefore, we present the case of a 22-year-old man with relapsed testicular non-seminomatous germ-cell tumor who was diagnosed with COVID-19 during his first auto-HSCT. Our case report is the first one describing the efficacy of early RDV (and its anti-inflammatory effects that might counterbalance the negative effect of the recombinant human granulocyte-colony stimulating factors -rhG-CSF-) in the context of severe neutropenia following HSCT with the concomitant onset of COVID-19.

Indexed as

COVID-19G-CSFhematopoietic stem cell transplantation (HSCT)neutropeniaremdesivirvaccine

Identifiers

PMID35935759
PMCPMC9353116
OpenAlexW4286716374

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.