Evidence map›Paper›PMID 38406802›Full record

ArticleFrontiers in oncology2024

Online searches for hepatocellular carcinoma drugs mirror prescription trends across specialties and changes in guideline recommendations.

Philipp Berning, Adrian E Schroer, Rishav Adhikari, Alexander C Razavi, Francois H Cornelis, Joseph P Erinjeri, Stephen B Solomon, Debkumar Sarkar, Hebert Alberto Vargas, Heiko Schöder and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2024. 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
0.8field-weighted citation impact, top 29% 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, 2 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

12 authors at 3 institutions in 1 country.

Philipp BerningJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Adrian E SchroerJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Rishav AdhikariJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Alexander C RazaviJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Francois H CornelisDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
Joseph P ErinjeriDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
Stephen B SolomonDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
Debkumar SarkarDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
Hebert Alberto VargasDepartment of Radiology, NYU Langone Health, New York, NY, United States.
Heiko SchöderDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
Josef J FoxDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
Omar DzayeJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Memorial Sloan Kettering Cancer Center · USJohns Hopkins University · USNYU Langone Health · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
PATHOPHYSIOLOGY OF MYOCARDIAL DISEASEST32HL007227 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Chulan Kwon, WENDY S POST · 1985 to 2026
$21.2M
NCI NIH HHS P30 CA008748NHLBI NIH HHS T32 HL007227
6 · The paper itself

Abstract

Background & aims: The treatment options for systemically progressed hepatocellular carcinoma (HCC) have significantly expanded in recent years. In this study, we aimed to evaluate the potential of Google searches as a reflection of prescription rates for HCC drugs in the United States (US). Methods: We conducted an in-depth analysis of US prescription data obtained from the IQVIA National Prescription Audit (NPA) and corresponding Google Trends data from January 2017 to December 2022. We focused on drugs used in the first line and second or later treatment lines for HCC, collecting data on their prescriptions and search rates. Search volumes were collected as aggregated search queries for both generic drugs and their respective brand names. Results: During the study period from Q1 2017 to Q4 2022, monthly prescriptions for drugs used in HCC treatment showed an 173% increase (from 1253 to 3422). Conversely online searches increased by 3.5% (from 173 to 179 per 10 million searches). Notably, strong correlations were observed between search interest and prescriptions for newer drugs, which indicates increasing usage, while older drugs with declining usage displayed limited correlation. Our findings suggest a growing role of non-physician professions in managing systemically progressed HCC within the US healthcare system, although oncologists remained primarily responsible for drug prescriptions. Conclusions: In conclusion, online search monitoring can offer the potential to reflect prescription trends specifically related to the treatment of HCC. This approach provides a swift and accessible means of evaluating the evolving landscape of HCC treatment.

Indexed as

cabozantinibgoogle trendshepatocellular carcinomalenvatinibsorafenib

Identifiers

PMID38406802
PMCPMC10884243
OpenAlexW4391690717

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.