Evidence map›Paper›PMID 35585165›Full record

ArticleScientific reports2022

NMR-based metabolomic profiling can differentiate follicular lymphoma from benign lymph node tissues and may be predictive of outcome.

Mohammad Mehdi Banoei, Etienne Mahé, Adnan Mansoor, Douglas Stewart, Brent W Winston, Hamid R Habibi, Meer-Taher Shabani-Rad

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 39% 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, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
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.

Mohammad Mehdi Banoei *Department of Critical Care Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Etienne Mahé *Department of Pathology and Laboratory Medicine, Foothills Medical Centre, Cumming School of Medicine, University of Calgary, McCaig Tower, Room MT7523, 1403 29 St NW, Calgary, AB, T2N 2T9, Canada. Etienne.mahe@medportal.ca.ORCID 0000-0002-6559-9339
Adnan MansoorDepartment of Pathology and Laboratory Medicine, Foothills Medical Centre, Cumming School of Medicine, University of Calgary, McCaig Tower, Room MT7523, 1403 29 St NW, Calgary, AB, T2N 2T9, Canada.
Douglas StewartDepartments of Oncology and Medicine, University of Calgary and Tom Baker Cancer Centre, Calgary, AB, Canada.
Brent W WinstonDepartments of Critical Care Medicine, Medicine and Biochemistry and Molecular Biology, University of Calgary, Calgary, AB, Canada.
Hamid R HabibiDepartment of Biological Sciences, University of Calgary, Calgary, AB, Canada.
Meer-Taher Shabani-RadDepartment of Pathology and Laboratory Medicine, Foothills Medical Centre, Cumming School of Medicine, University of Calgary, McCaig Tower, Room MT7523, 1403 29 St NW, Calgary, AB, T2N 2T9, Canada.
University of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Follicular lymphoma (FL) is a cancer of B-cells, representing the second most common type of non-Hodgkin lymphoma and typically diagnosed at advanced stage in older adults. In contrast to the wide range of available molecular genetic data, limited data relating the metabolomic features of follicular lymphoma are known. Metabolomics is a promising analytical approach employing metabolites (molecules < 1 kDa in size) as potential biomarkers in cancer research. In this pilot study, we performed proton nuclear magnetic resonance spectroscopy (

Indexed as

Lymphoma, FollicularAgedHumansLymph NodesMagnetic Resonance SpectroscopyMetabolomicsPilot Projects

Identifiers

PMID35585165
PMCPMC9117304
OpenAlexW4280538810

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.