Evidence map›Paper›PMID 31932655›Full record

ReviewBone marrow transplantation2020

Decision-analytic modeling as a tool for selecting optimal therapy incorporating hematopoietic stem cell transplantation in patients with hematological malignancy.

Shigeo Fuji, Arnon Nagler, Mohamad Mohty, Bipin Savani, Roni Shouval

Abstract readReview
PubMed Publisher
In one paragraph

Review in Bone marrow transplantation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Regulation of stress-induced hematopoiesis.Current opinion in hematology · 2020
    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

5 authors at 4 institutions in 4 countries.

Shigeo FujiDepartment of Hematology, Osaka International Cancer Institute, Osaka, Japan. fujishige1231@gmail.com.ORCID http://orcid.org/0000-0001-5118-7950
Arnon NaglerHematology and Bone Marrow Transplantation Division, Chaim Sheba Medical Center, Tel-Hashomer, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Mohamad MohtyService d'Hématologie clinique, Hopital Saint-Antoine, Sorbonne University, INSERM UMRs 938, Paris, France.
Bipin SavaniDivision of Hematology and Oncology, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID http://orcid.org/0000-0002-3304-9965
Roni ShouvalHematology and Bone Marrow Transplantation Division, Chaim Sheba Medical Center, Tel-Hashomer, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Tel Aviv University · ILInserm · FROsaka International Cancer Institute · JPVanderbilt University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Allogeneic hematopoietic stem cell transplantation (allo-HSCT) is the only curative treatment available for various hematological malignancies. Ideally, prospective randomized controlled trials (RCTs) should establish the indications for allo-HSCT. In reality, however, RCTs are not feasible due to the rarity of many hematological conditions. In these scenarios, decision analysis, which simulates possible outcomes with different approaches, can help in selecting the treatment strategy predicted to have the best result. Assessment of cost-effectiveness can also be incorporated in computational simulation analysis. In this review, we would like to provide an overview of decision-analytic models that evaluate alternative treatment strategies for patients with hematological malignancies.

Indexed as

Hematologic NeoplasmsHematopoietic Stem Cell TransplantationHumansTransplantation, Homologous

Identifiers

PMID31932655
OpenAlexW3000215249

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.