Evidence map›Paper›PMID 32528552›Full record

ArticleInfectious agents and cancer2020

Correction to: Immune landscape in Burkitt lymphoma reveals M2-macrophage polarization and correlation between PD-L1 expression and non-canonical EBV latency program.

Massimo Granai, Lucia Mundo, Ayse U Akarca, Maria Chiara Siciliano, Hasan Rizvi, Virginia Mancini, Noel Onyango, Joshua Nyagol, Nicholas Othieno Abinya, Ibrahim Maha and 9 more

Abstract readPublished Erratum
In one paragraph

Article in Infectious agents and cancer, 2020. 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

5 · Who and what money

Authors and funding

19 authors.

Massimo Granai *Department of Medical Biotechnology, University of Siena, Siena, Italy.
Lucia Mundo *Department of Medical Biotechnology, University of Siena, Siena, Italy.
Ayse U AkarcaDepartment of Pathology, University College London, London, UK.
Maria Chiara SicilianoDepartment of Medical Biotechnology, University of Siena, Siena, Italy.
Hasan RizviDepartment of Cellular Pathology, Barts Health NHS Trust, London, UK.
Virginia ManciniDepartment of Medical Biotechnology, University of Siena, Siena, Italy.
Noel OnyangoDepartment of Clinical Medicine and Therapeutics, University of Nairobi, Nairobi, Kenya.
Joshua NyagolDepartment of Human Pathology, University of Nairobi, Nairobi, Kenya.
Nicholas Othieno AbinyaDepartment of Clinical Medicine and Therapeutics, University of Nairobi, Nairobi, Kenya.
Ibrahim MahaSouth Egypt Cancer Institute, Assiut University, Assiut, Egypt.
Sandra MargielewskaInstitute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK.
Wenbin WeiInstitute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK.
Michele BibasClinical Department, National Institute for Infectious Diseases "Lazzaro Spallanzani" I.R.C.C.S, Rome, Italy.
Pier Paolo PiccalugaDepartment of Experimental Diagnostic, and Specialty Medicine Bologna University Medical School, Bologna; Euro-Mediterranean Institute of Science and Technology (IEMEST), Palermo, Italy.
Leticia Quintanilla-MartinezInstitute of Pathology, University Hospital of Tübingen, Tübingen, Germany.
Falko FendInstitute of Pathology, University Hospital of Tübingen, Tübingen, Germany.
Stefano LazziDepartment of Medical Biotechnology, University of Siena, Siena, Italy.
Lorenzo LeonciniDepartment of Medical Biotechnology, University of Siena, Siena, Italy.
Teresa MarafiotiDepartment of Pathology, University College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[This corrects the article DOI: 10.1186/s13027-020-00292-w.].

Identifiers

PMID32528552
PMCPMC7285461

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.