Evidence map›Paper›PMID 34206321›Full record

ArticleCancers2021

Detection of Hepatocellular Carcinoma in a High-Risk Population by a Mass Spectrometry-Based Test.

Devalingam Mahalingam, Leonidas Chelis, Imran Nizamuddin, Sunyoung S Lee, Stylianos Kakolyris, Glenn Halff, Ken Washburn, Kristopher Attwood, Ibnshamsah Fahad, Julia Grigorieva and 6 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. 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

16 authors at 8 institutions in 3 countries.

Devalingam MahalingamRobert H. Lurie Comprehensive Cancer Center of Northwestern University, Northwestern University, Chicago, IL 60611, USA.
Leonidas ChelisDepartment of Medical Oncology, Democritus University of Thrace, 68100 Alexandroupolis, Greece.
Imran NizamuddinDepartment of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.
Sunyoung S LeeDepartment of Medical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14203, USA.
Stylianos KakolyrisDepartment of Medical Oncology, Democritus University of Thrace, 68100 Alexandroupolis, Greece.
Glenn HalffLong School of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA.
Ken WashburnLong School of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA.
Kristopher AttwoodDepartment of Medical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14203, USA.
Ibnshamsah FahadAdult Oncology Department, King Fahad Specialist Hospital Dammam, Dammam 32253, Saudi Arabia.
Julia GrigorievaBiodesix Inc., Boulder, CO 80301, USA.
Senait AsmellashBiodesix Inc., Boulder, CO 80301, USA.
Krista MeyerBiodesix Inc., Boulder, CO 80301, USA.
Carlos OliveiraBiodesix Inc., Boulder, CO 80301, USA.
Heinrich RoderBiodesix Inc., Boulder, CO 80301, USA.
Joanna RoderBiodesix Inc., Boulder, CO 80301, USA.
Renuka IyerDepartment of Medical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14203, USA.
Helix Biomedix (United States) · USKing Fahad Specialist Hospital · SARoswell Park Comprehensive Cancer Center · USThe University of Texas Health Science Center at San Antonio · USDemocritus University of Thrace · GRNorthwestern University · USThe Ohio State University Wexner Medical Center · USThe University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is one of the fastest growing causes of cancer-related death. Guidelines recommend obtaining a screening ultrasound with or without alpha-fetoprotein (AFP) every 6 months in at-risk adults. AFP as a screening biomarker is plagued by low sensitivity/specificity, prompting interest in discovering alternatives. Mass spectrometry-based techniques are promising in their ability to identify potential biomarkers. This study aimed to use machine learning utilizing spectral data and AFP to create a model for early detection. Serum samples were collected from three separate cohorts, and data were compiled to make Development, Internal Validation, and Independent Validation sets. AFP levels were measured, and Deep MALDI

Indexed as

AFPcancer screeningcirrhosismachine learningMALDI-TOFproteomics

Identifiers

PMID34206321
PMCPMC8268628
OpenAlexW3176001052

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.