Evidence map›Paper›PMID 26393887›Full record

ArticleBritish journal of cancer2015

Clinical nomogram to predict bone-only metastasis in patients with early breast carcinoma.

Yann Delpech, Sami I Bashour, Ruben Lousquy, Roman Rouzier, Kenneth Hess, Charles Coutant, Emmanuel Barranger, Francisco J Esteva, Noato T Ueno, Lajos Pusztai and 1 more

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
1.1field-weighted citation impact, top 19% 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

28 citing papers in PubMed, 40 citations in OpenAlex.

  1. External validation of a nomogram for de novo bone metastasis in breast cancer: a single-center Mexican cohort.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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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

11 authors at 8 institutions in 2 countries.

Yann DelpechDepartment of Gynecology and Obstetrics, Lariboisiere Hospital, AP-HP, 2 Rue Ambroise-Pare, Paris, France.
Sami I BashourDepartment of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Ruben LousquyDepartment of Gynecology and Obstetrics, Lariboisiere Hospital, AP-HP, 2 Rue Ambroise-Pare, Paris, France.
Roman RouzierDepartment of Surgery, Institut Curie, Saint-Cloud, Paris, France.
Kenneth HessDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Charles CoutantDepartment of Surgical Oncology, Georges Francois Leclerc Cancer Center, Dijon, France.
Emmanuel BarrangerDepartment of Gynecology and Obstetrics, Lariboisiere Hospital, AP-HP, 2 Rue Ambroise-Pare, Paris, France.
Francisco J EstevaBreast Medical Oncology Program, NYU Cancer Institute, New York, NY, USA.
Noato T UenoDepartment of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Lajos PusztaiSection of Breast Medical Oncology, Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA.
Nuhad K IbrahimDepartment of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
The University of Texas MD Anderson Cancer Center · USAssistance Publique – Hôpitaux de Paris · FRBreast Cancer Research Foundation · USCentre Georges François Leclerc · FRHôpital Lariboisière · FRUniversité de Versailles Saint-Quentin-en-Yvelines · FRUniversité Paris Cité · FRYale Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
6 · The paper itself

Abstract

backgroundBone is one of the most common sites of distant metastasis in breast cancer. The purpose of this study was to combine selected clinical and pathologic variables to develop a nomogram that can predict the likelihood of bone-only metastasis (BOM) as the first site of recurrence in patients with early breast cancer.

methodsMedical records of patients with non-metastatic breast cancer were retrospectively collected. On the basis of the analysis of patient and tumour characteristics using the Cox proportional hazards regression model, a nomogram to predict BOM was constructed for a 4175-patient-training cohort. The nomogram was validated in an independent cohort of 579 patients.

resultsAmong 4175 patients with non-metastatic breast cancer, 314 developed subsequent BOM. Age, T classification, lymph node status, lymphovascular space invasion, and hormone receptor status were significantly and independently associated with subsequent BOM. The nomogram had a concordance index of 0.69 in the training set and 0.73 in the validation set.

conclusionsWe have developed a clinical nomogram to predict subsequent BOM in patients with non-metastatic breast cancer. Selection of a patient population at high risk for BOM could facilitate research of more specific staging approaches or the selective use of bone-targeted therapy.

Indexed as

NomogramsAdultAgedAged, 80 and overBone NeoplasmsBreast NeoplasmsEarly Detection of CancerFemaleHumansMiddle AgedProportional Hazards ModelsRetrospective StudiesYoung Adult

Identifiers

PMID26393887
PMCPMC4651124
OpenAlexW2236273933

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.