Evidence map›Paper›PMID 19840690›Full record

ArticleClinics in laboratory medicine2009

Point-of-care testing for disasters: needs assessment, strategic planning, and future design.

Gerald J Kost, Kristin N Hale, T Keith Brock, Richard F Louie, Nicole L Gentile, Tyler K Kitano, Nam K Tran

Open access · greenAbstract read
In one paragraph

Article in Clinics in laboratory medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 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 1 institution in 1 country.

Gerald J KostDepartment of Pathology and Laboratory Medicine, UC Davis-LLNL Point-of-Care Technologies Center [NIBIB, NIH], Point-of-Care Testing Center for Teaching and Research (POCT*CTR), School of Medicine, University of California, Davis, CA 95616, USA. gjkost@ucdavis.edu
Kristin N Hale
T Keith Brock
Richard F Louie
Nicole L Gentile
Tyler K Kitano
Nam K Tran
University of California, Davis · US

Funding

Rapid Multipathogen Detection for POCT and National Diaster ReadinessU54EB007959 · NIBIB · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KOST, GERALD JOSEPH · 2007 to 2011
$8.5M
NIBIB NIH HHS U54 EB007959
6 · The paper itself

Abstract

Objective evidence-based national surveys serve as a first step in identifying suitable point-of-care device designs, effective test clusters, and environmental operating conditions. Preliminary survey results show the need for point-of-care testing (POCT) devices using test clusters that specifically detect pathogens found in disaster scenarios. Hurricane Katrina, the tsunami in southeast Asia, and the current influenza pandemic (H1N1, "swine flu") vividly illustrate lack of national and global preparedness. Gap analysis of current POCT devices versus survey results reveals how POCT needs can be fulfilled. Future thinking will help avoid the worst consequences of disasters on the horizon, such as extensively drug-resistant tuberculosis and pandemic influenzas. A global effort must be made to improve POC technologies to rapidly diagnose and treat patients to improve triaging, on-site decision making, and, ultimately, economic and medical outcomes.

Indexed as

Point-of-Care SystemsChi-Square DistributionClinical Laboratory TechniquesCommunicable DiseasesComputer Communication NetworksData CollectionDisaster MedicineHumansInfluenza A Virus, H1N2 SubtypeInfluenza, HumanMedical Waste DisposalMedical Waste Disposal

Identifiers

PMID19840690
PMCPMC7115727
OpenAlexW2058856402

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.