Evidence map›Paper›PMID 20378578›Full record

ArticleHaematologica2010

Changes in the use of hematopoietic stem cell transplantation: a model for diffusion of medical technology.

Alois Gratwohl, Alvin Schwendener, Helen Baldomero, Michael Gratwohl, Jane Apperley, Dietger Niederwieser, Karl Frauendorfer

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Haematologica, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

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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

7 authors at 5 institutions in 3 countries.

Alois GratwohlDepartment of Medicine, University Hospital, University of Basel, Switzerland. hematology@uhbs.ch
Alvin Schwendener
Helen Baldomero
Michael Gratwohl
Jane Apperley
Dietger Niederwieser
Karl Frauendorfer
University of St. Gallen · CHImperial College London · GBUniversity Hospital Leipzig · DEUniversity Hospital of Basel · CHUniversity of Basel · CH

Funding

Medical Research Council MC_G0802523
6 · The paper itself

Abstract

backgroundInnovations in hematology spread rapidly. Factors affecting the speed of introduction, international diffusion, and durability of use of innovations are, however, poorly understood. DESIGN AND

methodsWe used data on 251,106 hematopoietic stem cell transplants from 591 teams in 36 European countries to analyze the increase and decrease in such transplants for breast cancer and chronic myeloid leukemia and the replacement of bone marrow by peripheral blood as the source of stem cells as processes of diffusion. Regression analyses were used to measure the quantitative impact of defined macro- and microeconomic factors, to look for significant associations (t-test), and to describe the coefficient of determination or explanatory content (R(2)).

resultsGross national income per capita, World Bank category, team density, team distribution, team size, team experience and, team innovator status were all significantly associated with some or all of the changes. The analyses revealed different patterns of associations and a wide range of explanatory content. Macro- and micro-economic factors were sufficient to explain the increase of allogeneic hematopoietic stem cell transplants in general (R(2) = 78.41%) and for chronic myeloid leukemia in particular (R(2) = 79.39%). They were insufficient to explain the changes in stem cell source (R(2) =26.79% autologous hematopoietic stem cell transplants; R(2) = 9.67% allogeneic hematopoietic stem cell transplants) or the decreases in hematopoietic stem cell transplants (R(2) =10.22% breast cancer; R(2)=33.17% chronic myeloid leukemia).

conclusionsThe diffusion of hematopoietic stem cell transplants is more complex than previously thought. Availability of resources, evidence, external regulations and, expectations were identified as key determinants. These data might serve as a model for diffusion of medical technology in general.

Indexed as

Breast NeoplasmsFemaleHematopoietic Stem Cell TransplantationHumansLeukemia, Myelogenous, Chronic, BCR-ABL PositiveMedical Laboratory ScienceModels, BiologicalPrognosis

Identifiers

PMID20378578
PMCPMC2857194
OpenAlexW2162661843

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.