Evidence map›Paper›PMID 34289529›Full record

ArticleImmunity, inflammation and disease2021

Are hematopoietic cell transplant recipients with Gram-negative bacteremia spending more time outpatient while on intravenous antibiotics? Addressing trends over 10 years at a single center.

Margaret L Lind, Steven Roncaioli, Catherine Liu, Andrew Bryan, Ania Sweet, Frank Tverdek, Mohamed Sorror, Amanda I Phipps, Steven A Pergam

Open access · goldAbstract read
In one paragraph

Article in Immunity, inflammation and disease, 2021. 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
0.2field-weighted citation impact, top 44% 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, 1 citations in OpenAlex.

  1. Article
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

9 authors at 2 institutions in 1 country.

Margaret L LindVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.ORCID 0000-0002-1572-4074
Steven RoncaioliInfection Control, Department of Medicine, BronxCare Health System, New York, New York, USA.
Catherine LiuVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Andrew BryanDepartment of Laboratory Medicine, University of Washington, Seattle, Washington, USA.
Ania SweetVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Frank TverdekVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Mohamed SorrorDepartment of Medicine, University of Washington School of Medicine, Seattle, Washington, USA.
Amanda I PhippsDepartment of Epidemiology, University of Washington School of Public Health, Seattle, Washington, USA.
Steven A PergamVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Seattle Cancer Care Alliance · USUniversity of Washington · US

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
NRSA Training CoreTL1TR002318 · NCATS · UNIVERSITY OF WASHINGTON · PI Megan Moore · 2017 to 2026
$8.4M
Using Big Data to Understand Sepsis in an Immunocompromised PopulationF31HL154509 · NHLBI · UNIVERSITY OF WASHINGTON · PI LIND, MARGARET · 2020 to 2020
$41k
NCATS NIH HHS TL1 TR002318NCI NIH HHS P30 CA015704NHLBI NIH HHS F31 HL154509
6 · The paper itself

Abstract

introductionThe increasing proportion of outpatient allogeneic hematopoietic cell transplants (HCTs) coupled with increased access of once-daily broad-spectrum antibiotics and evidence that outpatient antibiotic treatment may be safer and less costly than inpatient treatment, suggest that allogeneic HCT recipients with Gram-negative rod bacteremia (GNRBs) are increasingly being treated in ambulatory care settings.

methodsUsing data from the first GNRB event that occurred within the first 100 days posttransplantation among allogeneic HCT recipients transplanted at a single center between 2007 and 2016, we estimated the temporal trends in GNRB incidence and treatment management of GNRBs and identified if patient or infection characteristics impacted observed trends.

resultsA total of 11% (238/2165) of the observed allogeneic HCT recipients experienced ≥1 GNRB with available resistance data and contributed antibiotic treatment time. Patients, on average, received 55.1% of their antibiotic treatment in an outpatient setting and we observed a significant decline in the proportion of treatment time spent outpatient (crude: -3.3% [95% confidence interval: -5.0, -1.6%]). We observed similar declines in the proportion of treatment time spent outpatient among patients with similar GNRB and pretransplant complexity factors but not among patients with similar posttransplant complications (p value: .165).

conclusionThese results suggest that, despite increased availability of outpatient suitable treatment options, allogeneic HCT recipients with GNRBs received less treatment in outpatient settings. However, among patients with similar posttransplant complications, the lack of significant decline suggests that treatment location decisions remained consistent for patients with similar posttransplant complications. These findings suggest the need for additional interventions targeting outpatient antibiotic treatment among allogeneic HCT recipients with GNRBs.

Indexed as

BacteremiaHematopoietic Stem Cell TransplantationAnti-Bacterial AgentsHumansOutpatientsRetrospective StudiesTransplant RecipientsAnti-Bacterial Agentsambulatory careantibiotic stewardshipGram-negative rod bacteremiahematopoietic cell transplantoutpatient care

Identifiers

PMID34289529
PMCPMC8589361
OpenAlexW3185553429

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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.