Evidence map›Paper›PMID 39300939›Full record

ReviewCancer medicine2024

Advances in early detection of non-small cell lung cancer: A comprehensive review.

Nour Kenaan, George Hanna, Moustafa Sardini, Mhd Omar Iyoun, Khedr Layka, Zein Alabdin Hannouneh, Zuheir Alshehabi

Abstract readReview
In one paragraph

Review in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Exploring the molecular function of LYPD3 from pan-cancer to lung cancer: based on bioinformatics and cellular experiments.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Article
  5. Review
  6. Article
  7. 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

7 authors.

Nour KenaanCancer Research Center, Tishreen University, Lattakia, Syrian Arab Republic.ORCID https://orcid.org/0009-0004-6326-4940
George HannaCancer Research Center, Tishreen University, Lattakia, Syrian Arab Republic.
Moustafa SardiniCancer Research Center, Tishreen University, Lattakia, Syrian Arab Republic.
Mhd Omar IyounCancer Research Center, Tishreen University, Lattakia, Syrian Arab Republic.
Khedr LaykaCancer Research Center, Tishreen University, Lattakia, Syrian Arab Republic.
Zein Alabdin HannounehCancer Research Center, Tishreen University, Lattakia, Syrian Arab Republic.ORCID https://orcid.org/0000-0002-4516-9526
Zuheir AlshehabiCancer Research Center, Tishreen University, Lattakia, Syrian Arab Republic.ORCID https://orcid.org/0000-0002-6519-7954

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer has the highest mortality rate among malignancies globally. In addition, due to the growing number of smokers there is considerable concern over its growth. Early detection is an essential step towards reducing complications in this regard and helps to ensure the most effective treatment, reduce health care costs, and increase survival rates.

aimsTo define the most efficient and cost-effective method of early detection in clinical practice. MATERIALS AND

methodsWe collected the Information used to write this review by searching papers through PUBMED that were published from 2021 to 2024, mainly systematic reviews, meta-analyses and clinical-trials. We also included other older but notable papers that we found essential and valuable for understanding.

resultsEB-OCT has a varied sensitivity and specificity-an average of 94.3% and 89.9 for each. On the other hand, detecting biomarkers via liquid biopsy carries an average sensitivity of 91.4% for RNA molecules detection, and 97% for combined methylated DNA panels. Moreover, CTCs detection did not prove to have a significant role as a screening method due to the rarity of CTCs in the bloodstream thus the need for more blood samples and for enrichment techniques. DISCUSSION: Although low-dose CT scan (LDCT) is the current golden standard screening procedure, it is accompanied by a highly false positive rate. In comparison to other radiological screening methods, Endobronchial optical coherence tomography (EB-OCT) has shown a noticeable advantage with a significant degree of accuracy in distinguishing between subtypes of non-small cell lung cancer. Moreover, numerous biomarkers, including RNA molecules, circulating tumor cells, CTCs, and methylated DNA, have been studied in the literature. Many of these biomarkers have a specific high sensitivity and specificity, making them potential candidates for future early detection approaches.

conclusionLDCT is still the golden standard and the only recommended screening procedure for its high sensitivity and specificity and proven cost-effectiveness. Nevertheless, the notable false positive results acquired during the LDCT examination caused a presumed concern, which drives researchers to investigate better screening procedures and approaches, particularly with the rise of the AI era or by combining two methods in a well-studied screening program like LDCT and liquid biopsy. we suggest conducting more clinical studies on larger populations with a clear demographical target and adopting approaches for combining one of these new methods with LDCT to decrease false-positive cases in early detection.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungEarly Detection of CancerLung NeoplasmsHumansLiquid BiopsyNeoplastic Cells, CirculatingSensitivity and SpecificityTomography, Optical CoherenceTomography, X-Ray ComputedBiomarkers, Tumorartificial intelligencebiomarkersEB‐OCTLDCTNSCLCscreening

Identifiers

PMID39300939
PMCPMC11413414

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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.