Evidence map›Paper›PMID 23929931›Full record

ArticleClinical journal of the American Society of Nephrology : CJASN2013

Clinical factors and the decision to transfuse chronic dialysis patients.

Cynthia B Whitman, Sanatan Shreay, Matthew Gitlin, Martijn G H van Oijen, Brennan M R Spiegel

Abstract read
In one paragraph

Article in Clinical journal of the American Society of Nephrology : CJASN, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

5 authors.

Cynthia B WhitmanDepartments of Research and, ¶Internal Medicine, Veterans Administration Greater Los Angeles Healthcare System, Los Angeles, California;, †University of California at Los Angeles, Veterans Administration Center for Outcomes Research and Education, Los Angeles, California;, ‡Global Health Economics, Amgen, Inc., Thousand Oaks, California;, §Department of Internal Medicine, David Geffen School of Medicine at University of California at Los Angeles, Los Angeles, California, ‖Department of Health Services, University of California at Los Angeles School of Public Health, Los Angeles, California.
Sanatan Shreay
Matthew Gitlin
Martijn G H van Oijen
Brennan M R Spiegel

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesRed blood cell transfusion was previously the principle therapy for anemia in CKD but became less prevalent after the introduction of erythropoiesis-stimulating agents. This study used adaptive choice-based conjoint analysis to identify preferences and predictors of transfusion decision-making in CKD. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: A computerized adaptive choice-based conjoint survey was administered between June and August of 2012 to nephrologists, internists, and hospitalists listed in the American Medical Association Masterfile. The survey quantified the relative importance of 10 patient attributes, including hemoglobin levels, age, occult blood in stool, severity of illness, eligibility for transplant, iron indices, erythropoiesis-stimulating agents, cardiovascular disease, and functional status. Triggers of transfusions in common dialysis scenarios were studied, and based on adaptive choice-based conjoint-derived preferences, relative importance by performing multivariable regression to identify predictors of transfusion preferences was assessed.

resultsA total of 350 providers completed the survey (n=305 nephrologists; mean age=46 years; 21% women). Of 10 attributes assessed, absolute hemoglobin level was the most important driver of transfusions, accounting for 29% of decision-making, followed by functional status (16%) and cardiovascular comorbidities (12%); 92% of providers transfused when hemoglobin was 7.5 g/dl, independent of other factors. In multivariable regression, Veterans Administration providers were more likely to transfuse at 8.0 g/dl (odds ratio, 5.9; 95% confidence interval, 1.9 to 18.4). Although transplant eligibility explained only 5% of decision-making, nephrologists were five times more likely to value it as important compared with non-nephrologists (odds ratio, 5.2; 95% confidence interval, 2.4 to 11.1).

conclusionsAdaptive choice-based conjoint analysis was useful in predicting influences on transfusion decisions. Hemoglobin level, functional status, and cardiovascular comorbidities most strongly influenced transfusion decision-making, but preference variations were observed among subgroups.

Indexed as

Erythrocyte TransfusionPatient SelectionPractice Patterns, Physicians'Renal DialysisAgedAged, 80 and overAnemiaBiomarkersComorbidityDecision Support TechniquesFemaleHealth Care SurveysHealth StatusHemoglobinsHumansMaleBiomarkersHemoglobins

Identifiers

PMID23929931
PMCPMC3817895

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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.