Evidence map›Paper›PMID 35295589›Full record

ArticleHemaSphere2022

External Validation of the Revised Pretransplant Assessment of Mortality Score in Allogeneic Hematopoietic Cell Transplantation: A Cohort Study.

Nicolas Fattinger, Jan A Roth, Helen Baldomero, Daiana Stolz, Michael Medinger, Dominik Heim, Michael Tamm, Jörg P Halter, Jakob R Passweg, Martina Kleber

Open access · goldAbstract read
In one paragraph

Article in HemaSphere, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 35% 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, 3 citations in OpenAlex.

  1. Article
  2. Review
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

10 authors at 1 institution in 1 country.

Nicolas FattingerDivisions of Hematology, University Hospital Basel, Switzerland.
Jan A RothUniversity of Basel, Switzerland.
Helen BaldomeroDivisions of Hematology, University Hospital Basel, Switzerland.
Daiana StolzUniversity of Basel, Switzerland.
Michael MedingerDivisions of Hematology, University Hospital Basel, Switzerland.
Dominik HeimDivisions of Hematology, University Hospital Basel, Switzerland.
Michael TammUniversity of Basel, Switzerland.
Jörg P HalterDivisions of Hematology, University Hospital Basel, Switzerland.
Jakob R PasswegDivisions of Hematology, University Hospital Basel, Switzerland.
Martina KleberDivisions of Hematology, University Hospital Basel, Switzerland.
University of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pretransplant risk scores such as the revised Pretransplant Assessment of Mortality (rPAM) score help to predict outcome of patients receiving allogeneic hematopoietic cell transplantation (allo-HCT). Since the rPAM has not been validated externally in a heterogeneous patient population with different diseases, we aimed to validate the rPAM score in a real-world cohort of allo-HCT patients. A total of 429 patients were included receiving their first allo-HCT from 2008 to 2015. The predictive capacity of the rPAM score for 4-year overall survival (OS), nonrelapse mortality (NRM), and cumulative incidence of relapse (CIR) after allo-HCT was evaluated. Moreover, we evaluated the impact of the rPAM score for OS and used uni- and multivariable analyses to identify patient- and transplant-related predictors for OS. In rPAM score categories of <17, 17-23, 24-30, and >30, the OS probability at 4 years differed significantly with 61%, 36%, 26%, and 10%, respectively (

Identifiers

PMID35295589
PMCPMC8920432
OpenAlexW4220674845

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.