Evidence map›Paper›PMID 34950586›Full record

ArticleFrontiers in oncology2021

Long-Term Mixed Chimerism After

Leo Ruhnke, Friedrich Stölzel, Uta Oelschlägel, Malte von Bonin, Katja Sockel, Jan Moritz Middeke, Christoph Röllig, Korinna Jöhrens, Johannes Schetelig, Christian Thiede and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in oncology, 2021. 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
0.1field-weighted citation impact, top 48% 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, 2 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

11 authors at 4 institutions in 1 country.

Leo RuhnkeDepartment of Internal Medicine I, University Hospital Dresden, TU Dresden, Dresden, Germany.
Friedrich StölzelDepartment of Internal Medicine I, University Hospital Dresden, TU Dresden, Dresden, Germany.
Uta OelschlägelDepartment of Internal Medicine I, University Hospital Dresden, TU Dresden, Dresden, Germany.
Malte von BoninDepartment of Internal Medicine I, University Hospital Dresden, TU Dresden, Dresden, Germany.
Katja SockelDepartment of Internal Medicine I, University Hospital Dresden, TU Dresden, Dresden, Germany.
Jan Moritz MiddekeDepartment of Internal Medicine I, University Hospital Dresden, TU Dresden, Dresden, Germany.
Christoph RölligDepartment of Internal Medicine I, University Hospital Dresden, TU Dresden, Dresden, Germany.
Korinna JöhrensInstitute of Pathology, University Hospital Dresden, TU Dresden, Dresden, Germany.
Johannes ScheteligDepartment of Internal Medicine I, University Hospital Dresden, TU Dresden, Dresden, Germany.
Christian ThiedeDepartment of Internal Medicine I, University Hospital Dresden, TU Dresden, Dresden, Germany.
Martin BornhäuserDepartment of Internal Medicine I, University Hospital Dresden, TU Dresden, Dresden, Germany.
Technische Universität Dresden · DEDeutschen Konsortium für Translationale Krebsforschung · DEDeutsche Knochenmarkspenderdatei · DEGerman Cancer Research Center · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In patients who have undergone allogeneic hematopoietic cell transplantation (HCT), myeloid mixed donor chimerism (MC) is a risk factor for disease relapse. In contrast, several studies found favorable outcome in patients with lymphoid MC. Thus far, most studies evaluating MC focused on a

Indexed as

allogeneic hematopoietic cell transplantationAMLchimerismCMLmixed donor chimerismmyeloid neoplasms

Identifiers

PMID34950586
PMCPMC8688843
OpenAlexW4200422115

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.