Evidence map›Paper›PMID 35599008›Full record

ArticleZhongguo fei ai za zhi = Chinese journal of lung cancer2022

Treatment Sequencing Strategies in Lung Cancer.

Daniel Humberto Pozza, Ramon Bezerra Andrade de Mello

Abstract read
In one paragraph

Article in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2022. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Review
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  5. 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

2 authors.

Daniel Humberto PozzaDepartment of Biomedicine, Faculty of Medicine and i3s, University of Porto, 4200-319 Porto, Portugal.
Ramon Bezerra Andrade de MelloDiscipline of Medical Oncology, Post-graduation Program in Medicine, Nine of July University (UNINOVE), São Paulo, Brazil./Nine of July Hospital,
São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe advances in the lung cancer screening methods and therapeutics, together with awareness towards deleterious habits, such as smoking, is increasing the overall survival with better quality of life for the patients. However, lung cancer is still one of the most common and fatal neoplasm with a high incidence and consequently burden to public health worldwide. Thus, based on guidelines and recent phases II and III clinical trials studies, this manuscript summarizes the current treatment sequencing strategies in lung cancer.

methodsA comprehensive search of related articles was performed focused on phases II and III clinical trials studies.

resultsThe lung cancer management should take into consideration the tumor characteristics, histology, molecular pathology and be discussed in a multidisciplinary team. Lung cancer treatment options comprises surgery whenever possible, radiotherapy associate with/or chemotherapy and immunotherapy as monotherapy, or combined with chemotherapy and best palliative care.

conclusionsThe screening predictability in more patients, smoking reduction, early diagnosis, better disease understanding and individualized, more effective and tolerable therapeutics are related to an increasing in overall survival and quality of life. In the near future improvement of personalized therapy in precision medicine is expected, enhancing new predictive biomarkers, optimal doses and optimal treatment sequencing as well as anti-cancer vaccines development.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsEarly Detection of CancerHumansImmunotherapyQuality of LifeAtezolizumabBrigatinibClinical trialsImmunotherapyLung neoplasmsNecitumumabNivolumabPembrolizumabTargeted therapies

Identifiers

PMID35599008
PMCPMC9127753

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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.