Evidence map›Paper›PMID 31745452›Full record

ArticleCurrent Metabolomics2018

tcaSIM: A Simulation Program for Optimal Design of

Jeffry R Alger, A Dean Sherry, Craig R Malloy

Abstract read
In one paragraph

Article in Current Metabolomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. Live Metabolomics with NMR.Analytical chemistry · 2026
    Review
  2. NMR-Based Stable Isotope Tracing of Cancer Metabolism.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  3. Review
  4. Review
  5. Article
  6. Oxidation of hyperpolarized [1-NMR in biomedicine · 2023
    Article
  7. Article
  8. Review
  9. Article
  10. In vivoCurrent opinion in biotechnology · 2021
    Review
  11. Analysis of steady-state carbon tracer experiments using akaike information criteria.Metabolomics : Official journal of the Metabolomic Society · 2021
    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

3 authors at 3 institutions in 1 country.

Jeffry R AlgerAdvanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Texas.
A Dean SherryAdvanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Texas.
Craig R MalloyAdvanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Texas.
Advanced Imaging Research (United States) · USSouthwestern Medical Center · USThe University of Texas Southwestern Medical Center · US

Funding

TARGETED RESPONSIVE MR AND PET AGENTS FOR B-CELL IMAGINGP01DK058398 · NIDDK · UNIVERSITY OF TEXAS SW MED CTR/DALLAS · PI MUOIO, DEBORAH M · 2000 to 2016
$26.1M
TR&D 3: Imaging Carbohydrate MetabolismP41EB015908 · NIBIB · UT SOUTHWESTERN MEDICAL CENTER · PI MALLOY, CRAIG R · 2012 to 2021
$10.9M
Metabolism in the Heart by NMRR37HL034557 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI SHERRY, DEAN · 2008 to 2017
$3.9M
INTERMEDIARY METABOLISM IN THE HEART BY NMRR01HL034557 · NHLBI · UNIVERSITY OF TEXAS DALLAS · PI SHERRY, DEAN · 1988 to 2006
$1.9M
NHLBI NIH HHS R01 HL034557NHLBI NIH HHS R37 HL034557NIBIB NIH HHS P41 EB015908NIDDK NIH HHS P01 DK058398
6 · The paper itself

Abstract

Increasingly sophisticated instrumentation for chemical separations and identification has facilitated rapid advancements in our understanding of the metabolome. Since many analyses are performed using either mass spectroscopy (MS) or nuclear magnetic resonance (NMR) spectroscopy, the spin ½ stable

Identifiers

PMID31745452
PMCPMC6863451
OpenAlexW2904815873

What OpenQuestion holds

Textmetadata
LicenceTDM
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.