Evidence map›Paper›PMID 33417195›Full record

ArticleClinical drug investigation2021

Prevalence and Significance of Potential Pharmacokinetic Drug-Drug Interactions Among Patients with Lung Cancer: Implications for Clinical Trials.

Sawsan Rashdan, Hui Yang, Tri Le, Christopher Selby, David E Gerber, Carlos A Alvarez

Abstract read
PubMed Publisher
In one paragraph

Article in Clinical drug investigation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Practical recommendations to combine small-molecule inhibitors and direct oral anticoagulants in patients with nonsmall cell lung cancer.European respiratory review : an official journal of the European Respiratory Society · 2022
    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

6 authors at 2 institutions in 1 country.

Sawsan RashdanHarold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Hui YangPharmacy Practice, Texas Tech University Health Sciences Center, 5920 Forest Park Rd, Suite 400, Dallas, TX, 75235, USA.
Tri LeInternal Medicine, University of Texas Southwestern, Dallas, TX, USA.
Christopher SelbyPharmacy Practice, Texas Tech University Health Sciences Center, 5920 Forest Park Rd, Suite 400, Dallas, TX, 75235, USA.
David E GerberHarold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Carlos A AlvarezPharmacy Practice, Texas Tech University Health Sciences Center, 5920 Forest Park Rd, Suite 400, Dallas, TX, 75235, USA. carlos.alvarez@ttuhsc.edu.ORCID http://orcid.org/0000-0002-9512-1870
Texas Tech University · USThe University of Texas Southwestern Medical Center · US

Funding

Safety and Effectiveness of Metformin Therapy in Patients with Type 2 Diabetes anK08DK101602 · NIDDK · TEXAS TECH UNIVERSITY HEALTH SCIS CENTER · PI ALVAREZ, CARLOS A · 2014 to 2017
$536k
EARLY THERAPEUTICS DEVELOPMENT WITH PHASE 2 EMPHASIS-261017003N01CA017003 · NCI · UNIVERSITY OF TEXAS MD ANDERSON CAN CTR · 2002 to 2005
–
Agency for Healthcare Research and Quality R24HS022418Cancer Prevention and Research Institute of Texas 17003NIDDK NIH HHS K08 DK101602NIDDK NIH HHS K08DK101602
6 · The paper itself

Abstract

backgroundThe overall prevalence of potential drug-drug interactions (DDIs) among patients with lung cancer is unknown.

objectiveThe objective of this study was to determine the prevalence of potential DDIs and major DDIs among individuals newly diagnosed with lung cancer in a national cohort. PATIENTS AND

methodsWe performed a retrospective cross-sectional study of adult patients in the United States Veterans' Affairs (VA) medical system diagnosed with lung cancer between 2003 and 2016. The primary endpoint was the prevalence of prescriptions for medications associated with any potential DDIs during the 3 months leading up to and including the date of lung cancer diagnosis. The secondary endpoint was the prevalence of prescriptions associated with major DDIs during the same time period.

resultsOverall, 280,068 patients were included in the study; 55.9% of patients were prescribed medications associated with potential DDIs, while 5.3% received prescriptions for medications associated with major DDIs. Among the 20 most commonly prescribed drugs associated with potential DDIs, only two were associated with major DDIs.

conclusionMedications with potential DDIs are prescribed to the majority of patients with lung cancer; however, only about 5% of patients are prescribed medications with major DDIs that might be prohibited in certain clinical trials.

Indexed as

Drug InteractionsLung NeoplasmsAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedPharmaceutical PreparationsPrevalenceRetrospective StudiesPharmaceutical Preparations

Identifiers

PMID33417195
OpenAlexW3118648563

What OpenQuestion holds

Textmetadata
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.