Evidence map›Paper›PMID 36900386›Full record

ReviewCancers2023

Assessment of Barriers and Challenges to Screening, Diagnosis, and Biomarker Testing in Early-Stage Lung Cancer.

Reza Zarinshenas, Arya Amini, Isa Mambetsariev, Tariq Abuali, Jeremy Fricke, Colton Ladbury, Ravi Salgia

Full text readReview
In one paragraph

Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
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  14. Making Sense of the Nonalcoholic Fatty Liver Disease Clinical Practice Guidelines: What Clinicians Need to Know.Diabetes spectrum : a publication of the American Diabetes Association · 2024
    Article
  15. Review
  16. 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

7 authors.

Reza ZarinshenasDepartment of Radiation Oncology, City of Hope National Medical Center, Duarte, CA 91010, USA.
Arya AminiDepartment of Radiation Oncology, City of Hope National Medical Center, Duarte, CA 91010, USA.
Isa MambetsarievDepartment of Medical Oncology, City of Hope National Medical Center, Duarte, CA 91010, USA.ORCID 0000-0003-2882-0249
Tariq AbualiDepartment of Radiation Oncology, City of Hope National Medical Center, Duarte, CA 91010, USA.
Jeremy FrickeDepartment of Medical Oncology, City of Hope National Medical Center, Duarte, CA 91010, USA.ORCID 0000-0003-4684-8114
Colton LadburyDepartment of Radiation Oncology, City of Hope National Medical Center, Duarte, CA 91010, USA.ORCID 0000-0002-2668-3415
Ravi SalgiaDepartment of Medical Oncology, City of Hope National Medical Center, Duarte, CA 91010, USA.ORCID 0000-0001-9643-7626

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Management of lung cancer has transformed over the past decade and is no longer considered a singular disease as it now has multiple sub-classifications based on molecular markers. The current treatment paradigm requires a multidisciplinary approach. One of the most important facets of lung cancer outcomes however relies on early detection. Early detection has become crucial, and recent effects have shown success in lung cancer screening programs and early detection. In this narrative review, we evaluate low-dose computed tomography (LDCT) screening and how this screening modality may be underutilized. The barriers to broader implementation of LDCT screening is also explored as well as approaches to address these barriers. Current developments in diagnosis, biomarkers, and molecular testing in early-stage lung cancer are evaluated as well. Improving approaches to screening and early detection can ultimately lead to improved outcomes for patients with lung cancer.

Indexed as

biomarkersCOVID-19LDCTlung cancerscreening

Identifiers

PMID36900386
PMCPMC10000935

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read34
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.