Evidence map›Paper›PMID 33682137›Full record

ArticleTransfusion2021

Planned hematopoietic stem cell transplantation in a 17-month-old patient with high-risk acute myeloid leukemia and persistent SARS-CoV-2 infection.

Daniela Cuzzubbo, Francesco Pegoraro, Stefano Frenos, Tommaso Casini, Luisa Galli, Eleonora Gambineri, Franco Bambi, Veronica Tintori, Claudio Favre

Open access · bronzeAbstract readCase ReportsLetter
PubMed Full text at PMC Publisher
In one paragraph

Article in Transfusion, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 46% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. Allogeneic Hematopoietic Stem Cell Transplant for Acute Lymphoblastic Leukemia in a Pediatric Patient After COVID-19 Infection Complicated by MIS-C.Journal of pediatric health care : official publication of National Association of Pediatric Nurse Associates & Practitioners
    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

9 authors at 1 institution in 1 country.

Daniela CuzzubboPediatric Haematology/Oncology and HSCT Department, Meyer Children's University Hospital, Florence, Italy.
Francesco PegoraroPediatric Haematology/Oncology and HSCT Department, Meyer Children's University Hospital, Florence, Italy.
Stefano FrenosPediatric Haematology/Oncology and HSCT Department, Meyer Children's University Hospital, Florence, Italy.
Tommaso CasiniPediatric Haematology/Oncology and HSCT Department, Meyer Children's University Hospital, Florence, Italy.
Luisa GalliDepartment of Health Science, University of Florence, Florence, Italy.
Eleonora GambineriPediatric Haematology/Oncology and HSCT Department, Meyer Children's University Hospital, Florence, Italy.
Franco BambiBlood Bank, Meyer Children's University Hospital, Florence, Italy.
Veronica TintoriPediatric Haematology/Oncology and HSCT Department, Meyer Children's University Hospital, Florence, Italy.
Claudio FavrePediatric Haematology/Oncology and HSCT Department, Meyer Children's University Hospital, Florence, Italy.ORCID 0000-0003-1770-2423
Meyer Children's Hospital · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

COVID-19Hematopoietic Stem Cell TransplantationLeukemia, Myeloid, AcuteTransplantation ConditioningHumansInfantMaleSARS-CoV-2Transplantation, HomologousAMLCOVID-19HSCTSARS-CoV-2transplantation

Identifiers

PMID33682137
PMCPMC8251374
OpenAlexW3134391093

What OpenQuestion holds

Textmetadata
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.