Evidence map›Paper›PMID 35246585›Full record

Trial reportScientific reports2022

Clinical outcomes and a nomogram for de novo metastatic breast cancer with lung metastasis: a population-based study.

Weiming Liu, Yiqun Han

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  6. Review
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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

2 authors.

Weiming LiuChina Rehabilitation Research Center, Beijing Boai hospital, Beijing, China.
Yiqun HanNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. hanyiqun803@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To better understand the clinical characteristics of newly diagnosed lung metastatic breast cancer (LMBC) and quantify its prognosis, we retrieved data on patients with LMBC from the Surveillance, Epidemiology, and End Results database. Eligible patients were randomly assigned to training and validation cohorts (ratio 7:3) to establish a nomogram using the Cox proportional hazards regression model. In total, 4310 patients with LMBC were enrolled, including 52.4% (2259/4310) HR+/HER2-, 17.6% (757/4310) HR+/HER2+, 10.8% (467/4310) HR-/HER2+, and 19.2% (827/4310) HR-/HER2- subtype patients. Inclinations of lung and brain involvement in HR-/HER2+ and HR-/HER2- subgroups, liver involvement in the HER2 overexpressing subgroup, and bone involvement in the HR-positive subgroup were detected in the LMBC population. Regarding prognosis, HR+/HER2+ subtype patients presented the most favorable profile (mOS 35.0 months, 95% CI 30.1-39.9), while HR-/HER2- patients exhibited the worst (mOS 11.0 months, 95% CI, 10.0-11.9). A nomogram was developed in the training cohort and validated internally (C-index 0.70) and externally (C-index 0.71), suggestive of decent performance. This study assessed the clinical outcomes associated with molecular subtypes, metastatic patterns, and surgical intervention and provided a robust nomogram for the estimation of survival probabilities, which are promising for the management of LMBC in clinical practice.

Indexed as

Breast NeoplasmsLung NeoplasmsCohort StudiesErb-b2 Receptor Tyrosine KinasesFemaleHumansNomogramsPrognosisErb-b2 Receptor Tyrosine Kinases

Identifiers

PMID35246585
PMCPMC8897413

What OpenQuestion holds

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Registered trials

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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.