Evidence map›Paper›PMID 33724799›Full record

ArticleAnalytical chemistry2021

Hani Habra, Maureen Kachman, Kevin Bullock, Clary Clish, Charles R Evans, Alla Karnovsky

Abstract read
In one paragraph

Article in Analytical chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  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

6 authors.

Hani HabraDepartment of Computational Medicine and Bioinformatics, University of Michigan Medical School, 100 Washtenaw Avenue, Arbor, Michigan 48109, United States.ORCID 0000-0003-4838-0105
Maureen KachmanMichigan Regional Comprehensive Metabolomics Resource Core, University of Michigan, 1000 Wall Street, Ann Arbor, Michigan 48105, United States.
Kevin BullockMetabolomics Platform, Broad Institute, Cambridge, Massachusetts 02142, United States.
Clary ClishMetabolomics Platform, Broad Institute, Cambridge, Massachusetts 02142, United States.ORCID 0000-0001-8259-9245
Charles R EvansMichigan Regional Comprehensive Metabolomics Resource Core, University of Michigan, 1000 Wall Street, Ann Arbor, Michigan 48105, United States.ORCID 0000-0001-6698-5330
Alla KarnovskyDepartment of Computational Medicine and Bioinformatics, University of Michigan Medical School, 100 Washtenaw Avenue, Arbor, Michigan 48109, United States.ORCID 0000-0001-7388-8520

Funding

Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
Untargeted Analysis ResourceU2CES026553 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BURANT, CHARLES F · 2015 to 2015
$9.5M
Michigan Compound Identification Development Cores (MCIDC)U2CES030164 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI EVANS, CHARLES ROBERT, NESVIZHSKII, ALEXEY I · 2018 to 2021
$4.1M
Proteogenomics of Cancer Training ProgramT32CA140044 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RAO, ARVIND, SARTOR, MAUREEN AGNES · 2010 to 2024
$3.9M
NCI NIH HHS T32 CA140044NIEHS NIH HHS P30 ES017885NIEHS NIH HHS U2C ES026553NIEHS NIH HHS U2C ES030164
6 · The paper itself

Abstract

LC-HRMS experiments detect thousands of compounds, with only a small fraction of them identified in most studies. Traditional data processing pipelines contain an alignment step to assemble the measurements of overlapping features across samples into a unified table. However, data sets acquired under nonidentical conditions are not amenable to this process, mostly due to significant alterations in chromatographic retention times. Alignment of features between disparately acquired LC-MS metabolomics data could aid collaborative compound identification efforts and enable meta-analyses of expanded data sets. Here, we describe

Indexed as

MetabolomicsChromatography, LiquidMass SpectrometryWorkflow

Identifiers

PMID33724799
PMCPMC9906987

What OpenQuestion holds

Textmetadata
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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.