Evidence map›Paper›PMID 34609902›Full record

ArticleJCO global oncology2021

Demographic and Clinical Outcomes of Brazilian Patients With Stage III or IV Non-Small-Cell Lung Cancer: Real-World Evidence Study on the Basis of Deterministic Linkage Approach.

Carlos Gil Ferreira, Marcia Datz Abadi, Paula de Mendonça Batista, Fernando Brandão Serra, Rodrigo Buzzatti Peixoto, Lucas Miyake Okumura, Erica Regina Cerqueira

Abstract read
In one paragraph

Article in JCO global oncology, 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
–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.

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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.

Carlos Gil FerreiraInstituto Oncoclínicas, São Paulo, Brazil.ORCID 0000-0002-7228-7018
Marcia Datz AbadiMSD Brazil, São Paulo, Brazil.
Paula de Mendonça BatistaMSD Brazil, São Paulo, Brazil.ORCID 0000-0001-6860-1740
Fernando Brandão SerraMSD Brazil, São Paulo, Brazil.ORCID 0000-0002-8583-6696
Rodrigo Buzzatti PeixotoMSD Brazil, São Paulo, Brazil.ORCID 0000-0001-6466-0778
Lucas Miyake OkumuraTechtrials, São Paulo, Brazil.ORCID 0000-0003-3607-619X
Erica Regina CerqueiraMSD Brazil, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNon-small-cell lung cancer (NSCLC) is the most common type of lung cancer and accounts for 80%-90% of the cases. In Brazil, between 2018 and 2019, lung cancer was ranked as the second most frequent cancer among men and the fourth among women. The primary objectives were to describe the journey and survival rates of patients with advanced NSCLC treated in the Brazilian private health care system (HCS). MATERIALS AND

methodsA retrospective cohort study was based on the search in administrative databases to analyze the Brazilian private HCS. Patients with advanced NSCLC diagnosed between 2011 and 2016 were included. The data on demographics, cancer-related information, treatment-related information, and resources used were collected. Survival analyses were performed using the semiparametric Kaplan-Meier method to assess mortality by NSCLC stage, with NSCLC diagnosis as the index date.

resultsA total of 5,016 patients were included. Most patients were between 60 and 69 years old (33.6%) and had completed elementary school (52.2%). There was a greater proportion of men (58.1%

conclusionThis study provides contemporary data on stage III and IV NSCLC in private health care in Brazil, which has shown a high rate of metastatic disease diagnoses, high health care-related costs, and low survival rates.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsAgedBrazilFemaleHumansMaleMiddle AgedRetrospective StudiesSurvival Rate

Identifiers

PMID34609902
PMCPMC8492375

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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.