Evidence map›Paper›PMID 17449788›Full record

ArticleAJR. American journal of roentgenology2007

Evaluation of two diuresis renography decision support systems to determine the need for furosemide in patients with suspected obstruction.

Andrew Taylor, Andrew N Hill, José N E Binongo, Amita K Manatunga, Raghuveer Halkar, Eva V Dubovsky, Ernest V Garcia

Open access · greenAbstract readComparative Study
In one paragraph

Article in AJR. American journal of roentgenology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Diagnostic performance of an artificial intelligence-driven cardiac-structured reporting system for myocardial perfusion SPECT imaging.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Article
  2. Article
  3. Diagnostic performance of an expert system for interpretation of 99mTc MAG3 scans in suspected renal obstruction.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2008
    Article
  4. Decision support systems in diuresis renography.Seminars in nuclear medicine · 2008
    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

7 authors at 1 institution in 1 country.

Andrew TaylorDepartment of Radiology, Division of Nuclear Medicine, Emory University School of Medicine, 1364 Clifton St., Atlanta, GA 30322, USA. ataylor@emory.edu
Andrew N Hill
José N E Binongo
Amita K Manatunga
Raghuveer Halkar
Eva V Dubovsky
Ernest V Garcia
Emory University · US

Funding

Decision Support Systems for MAG3 RenographyR01EB008838 · NIBIB · EMORY UNIVERSITY · PI TAYLOR, ANDREW THOMPSON · 2008 to 2011
$1.6M
NIBIB NIH HHS R01 EB008838PHS HHS R0I LMN07595
6 · The paper itself

Abstract

objectiveThe purpose of this study was to compare the decisions regarding the need for furosemide made by two independent renal decision support systems, RENEX and CAR-TAN, with the need for furosemide determined in clinical practice and by expert reviewers using the baseline plus furosemide protocol. SUBJECTS AND

methodsRENEX and CARTAN are independent decision support systems that reach their conclusions without operator input. RENEX is a knowledge-based system and CARTAN is a statistical decision support system. Both were trained using the same pilot group of 31 adult patients (61 kidneys) referred for suspected obstruction. Subsequently, both systems were prospectively applied to 102 patients (200 kidneys) of whom 70 received furosemide; decisions regarding the need for furosemide were compared with the clinical decisions and the decisions of three experts who independently scored each kidney on the need for furosemide. Differences were resolved by consensus.

resultsRENEX agreed with the clinical and experts' decisions to give furosemide in 97% (68/70) and 98% (65/66) of patients, respectively, whereas CARTAN agreed in 90% (63/70) and 89% (59/66), respectively, p < 0.03. In contrast, CARTAN agreed with the experts' decision to withhold furosemide in 78% of kidneys (87/111), whereas RENEX agreed in only 69% of kidneys (77/111), p = 0.008.

conclusionUse of RENEX or CARTAN as decision support tools in the baseline plus furosemide protocol has the potential to help the radiologist avoid unnecessary imaging and reduce the technologist, computer, camera, and physician time required to perform the procedure.

Indexed as

Decision Support Systems, ClinicalDiureticsFurosemideAdultAgedClinical ProtocolsFemaleHumansMaleMiddle AgedProspective StudiesRadiographyRadioisotope RenographyRadiopharmaceuticalsRetrospective StudiesTechnetium Tc 99m MertiatideDiureticsFurosemideRadiopharmaceuticalsTechnetium Tc 99m Mertiatide

Identifiers

PMID17449788
PMCPMC3694351
OpenAlexW2034845783

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.