Evidence map›Paper›PMID 24363319›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Visual analytical tool for evaluation of 10-year perioperative transfusion practice at a children's hospital.

Jorge A Gálvez, Luis Ahumada, Allan F Simpao, Elaina E Lin, Christopher P Bonafide, Dhruv Choudhry, William R England, Abbas F Jawad, David Friedman, Debora A Sesok-Pizzini and 1 more

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

11 authors.

Jorge A GálvezDepartment of Anesthesiology & Critical Care, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Luis Ahumada
Allan F Simpao
Elaina E Lin
Christopher P Bonafide
Dhruv Choudhry
William R England
Abbas F Jawad
David Friedman
Debora A Sesok-Pizzini
Mohamed A Rehman

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Children are a vulnerable population in the operating room, and are particularly at risk of complications from unanticipated hemorrhage. The decision to prepare blood products prior to surgery varies depending on the personal experience of the clinician caring for the patient. We present the first application of a data visualization technique to study large datasets in the context of blood product transfusions at a tertiary pediatric hospital. The visual analytical interface allows real-time interaction with datasets from 230 000 procedure records. Clinicians can use the visual analytical interface to analyze blood product usage based on procedure- and patient-specific factors, and then use that information to guide policies for ordering blood products.

Indexed as

User-Computer InterfaceBlood TransfusionChildChild, PreschoolHospitals, PediatricHumansInfantOrganizational Policyanesthesiologyclinical decision supportmaximum surgical blood order schedulepediatrictransfusionvisual analytics

Identifiers

PMID24363319
PMCPMC3994870

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.