Evidence map›Paper›PMID 37077729›Full record

ArticleTransplantation direct2022

Short Report: Evaluating the Effects of Automated Donor Referral Technology on Deceased Donor Referrals.

Macey L Levan, Chad Trahan, Samantha B Klitenic, Jonathan Hewlett, Tyler Strout, Michael A Levan, Karen B Vanterpool, Dorry L Segev, Bradley L Adams, Allan B Massie and 1 more

Open access · goldAbstract read
In one paragraph

Article in Transplantation direct, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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

11 authors at 2 institutions in 1 country.

Macey L LevanDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
Chad TrahanSouthwest Transplant Alliance, Dallas, TX.
Samantha B KlitenicDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
Jonathan HewlettSouthwest Transplant Alliance, Dallas, TX.
Tyler StroutSouthwest Transplant Alliance, Dallas, TX.
Michael A LevanDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
Karen B VanterpoolDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
Dorry L SegevDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
Bradley L AdamsSouthwest Transplant Alliance, Dallas, TX.
Allan B MassieDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
Patricia NilesSouthwest Transplant Alliance, Dallas, TX.
Johns Hopkins University · USJohns Hopkins Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Automation of deceased donor referrals with standardized clinical triggers allows organ procurement organizations to be rapidly aware of medically eligible potential donors without the need for manual reporting and subjective decision-making of otherwise very busy hospital staff. In October 2018, 3 Texas hospitals (pilot hospitals) began using an automated referral system; our goal was to evaluate the impact of this system on eligible donor referral. Methods: We studied ventilated referrals (n = 28 034) in a single organ procurement organization from January 2015 to March 2021. We estimated the change in referral rate in the 3 pilot hospitals due to the automated referral system using a difference-in-differences analysis with Poisson regression. Results: Ventilated referrals from the pilot hospitals increased from mean 11.7 per month pre-October 2018 to 26.7 per month post-October 2018. The difference-in-differences analysis estimated that automated referral was associated with a 45% increase in referrals (adjusted incidence rate ratio [aIRR] = Conclusions: Following deployment of an automated referral system that did not require any actions by the referring hospital, referrals, authorizations, and organ donors increased substantially in the 3 pilot hospitals. Broader deployment of automated referral systems may lead to increases in the deceased donor pool.

Identifiers

PMID37077729
PMCPMC10109458
OpenAlexW4289111827

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.