Evidence map›Paper›PMID 34693779›Full record

ArticleThe Journal of international medical research2021

Diagnostic and prognostic nomograms for bone metastasis in small cell lung cancer.

Chenan Liu, Jiahong Yi, Junmei Jia

Open access · goldAbstract read
In one paragraph

Article in The Journal of international medical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 26% of its field
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

9 citing papers in PubMed, 11 citations in OpenAlex.

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  3. Investigation of TMEM41A's function in breast cancer prognosis and its connection to immune cell infiltration.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
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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

3 authors at 1 institution in 1 country.

Chenan LiuShanxi Medical University, Taiyuan, Shanxi, China.ORCID https://orcid.org/0000-0001-6089-2686
Jiahong YiShanxi Medical University, Taiyuan, Shanxi, China.
Junmei JiaDepartment of Oncology, 105862First Hospital of Shanxi Medical University, First Hospital of Shanxi Medical University, Taiyuan, China.
Shanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePatients with bone metastasis (BM) of small cell lung cancer (SCLC) have a poor prognosis. We aimed to identify predictors and prognostic factors in patients with BM of SCLC and construct nomograms to predict BM.

methodsWe retrospectively analyzed 18,187 cases from the Surveillance, Epidemiology, and End Results database reported between 2010 and 2016. Differences in overall survival (OS) and cancer-specific survival (CSS) were evaluated after propensity score matching. Independent predictors for BM and prognostic factors for patients with BM of SCLC were determined using univariate and multivariate regression analyses. Two nomograms were constructed and evaluated using C-statistics.

resultsBM was observed in 4014 (22.07%) patients. Kaplan-Meier survival analysis revealed significant differences between BM and non-BM groups. The median OS for patients with and without BM was 6 and 7 months, respectively. The median CSS for patients with and without BM was 9 and 13 months, respectively. Age, sex, tumor size, N stage, chemotherapy, surgery, radiotherapy, and liver/brain/lung metastases were related to BM and independent prognostic factors for OS and CSS. Diagnostic and prognostic nomograms were generated.

conclusionOur nomograms predicted the incidence of BM and the 5-month survival rate of patients with SCLC and BM.

Indexed as

Lung NeoplasmsSmall Cell Lung CarcinomaHumansNomogramsPrognosisRetrospective Studiesand End Results databasebone metastasisEpidemiologynomogrampredictorprognosisSmall cell lung cancerSurveillance

Identifiers

PMID34693779
PMCPMC8551427
OpenAlexW3209437719

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.