Evidence map›Paper›PMID 36199787›Full record

ArticleJournal of oncology2022

Trending Anti-E7 Serology Predicts Mortality and Recurrence of HPV-Associated Cancers of the Oropharynx.

Luke Johnson, Dat T Ha, Melissa B Hall, Gregory Shoemaker, Paul A Bevins, John Strickley, Shadmehr Demehri, Rebecca A Redman, Joongho Joh

Abstract read
In one paragraph

Article in Journal of oncology, 2022. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Luke JohnsonDepartment of Medicine, University of Louisville School of Medicine, KY 40202, USA.ORCID https://orcid.org/0000-0001-8075-8484
Dat T HaBrown Cancer Center, University of Louisville School of Medicine, KY 40202, USA.ORCID https://orcid.org/0000-0003-4260-4876
Melissa B HallBrown Cancer Center, University of Louisville School of Medicine, KY 40202, USA.
Gregory ShoemakerDepartment of Medicine, University of Louisville School of Medicine, KY 40202, USA.ORCID https://orcid.org/0000-0001-8664-6176
Paul A BevinsDepartment of Medicine, University of Louisville School of Medicine, KY 40202, USA.ORCID https://orcid.org/0000-0003-1120-2620
John StrickleyJohn T Milliken Department of Internal Medicine, Washington University School of Medicine in St. Louis, MO 63110, USA.ORCID https://orcid.org/0000-0003-2567-7424
Shadmehr DemehriCenter for Cancer Immunology, Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.ORCID https://orcid.org/0000-0002-7913-2641
Rebecca A RedmanDepartment of Medicine, University of Louisville School of Medicine, KY 40202, USA.ORCID https://orcid.org/0000-0002-0932-8868
Joongho JohDepartment of Medicine, University of Louisville School of Medicine, KY 40202, USA.ORCID https://orcid.org/0000-0002-7576-5994

Funding

Immunity to commensal papillomaviruses for cancer therapyR01CA251755 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI DEMEHRI, SHADMEHR, JOH, JOONGHO JOHN · 2021 to 2025
$2.6M
NCI NIH HHS R01 CA251755
6 · The paper itself

Abstract

High-risk human papillomavirus (HPV) is among the most common causes of head and neck cancer (HNC) with increasing incidence. HPV-associated HNC patients' clinical response to treatment varies drastically, which has made treatment de-escalation clinical trials challenging. To address the need for noninvasive biomarkers that differentiate patient outcomes, serum antibodies to E7 oncoprotein levels were evaluated in serial serum specimens from HPV-positive HNC patients (

Identifiers

PMID36199787
PMCPMC9529406

What OpenQuestion holds

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Registered trials

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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.