Evidence map›Paper›PMID 38927408›Full record

ArticleBiomedicines2024

Retrospective Evaluation of Bone Turnover Markers in Serum for the Prediction of Metastases Development in Breast Cancer Patients: A Cohort Study.

Mariz Kasoha, Sebastian Findeklee, Meletios P Nigdelis, Gilda Schmidt, Erich-Franz Solomayer, Bashar Haj Hamoud

Abstract read
In one paragraph

Article in Biomedicines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Mariz KasohaDepartment of Gynecology, Obstetrics and Reproductive Medicine, University Medical School of Saarland, D-66421 Homburg, Germany.ORCID 0000-0002-5468-4597
Sebastian FindekleeDepartment of Gynecology, Obstetrics and Reproductive Medicine, University Medical School of Saarland, D-66421 Homburg, Germany.ORCID 0000-0002-2921-0664
Meletios P NigdelisDepartment of Gynecology, Obstetrics and Reproductive Medicine, University Medical School of Saarland, D-66421 Homburg, Germany.ORCID 0000-0003-3865-6833
Gilda SchmidtDepartment of Gynecology, Obstetrics and Reproductive Medicine, University Medical School of Saarland, D-66421 Homburg, Germany.
Erich-Franz SolomayerDepartment of Gynecology, Obstetrics and Reproductive Medicine, University Medical School of Saarland, D-66421 Homburg, Germany.
Bashar Haj HamoudDepartment of Gynecology, Obstetrics and Reproductive Medicine, University Medical School of Saarland, D-66421 Homburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSerum bone turnover markers might play a role in the prediction of the development of bone metastases in breast cancer (BC) patients. We conducted a retrospective cohort study to address the association of serum bone turnover markers with oncologic outcomes.

methodsWe included 80 women with BC, who were operated on at the Department of Gynecology, Obstetrics and Reproductive Medicine, Homburg/Saar, Germany. Serum samples were obtained prior to surgery and were used for estimation of the concentration of tumor and bone turnover markers using enzyme-linked immunosorbent assay (ELISA) and radioimmunoassay (RIA).

resultsAt baseline, pyridinoline cross-linked carboxy-terminal telopeptide of type-1 collagen (ICTP) concentrations were higher in nodal positive vs. negative tumors (Mann-Whitney test

conclusionsSerum bone turnover markers (e.g., ICTP) were able to predict the development of osseous metastases but were not associated with oncologic outcomes. Further investigation and validation are required for the use of such markers in clinical practice.

Indexed as

biomarkersbone metastasesboner turnoverbreast cancer

Identifiers

PMID38927408
PMCPMC11201037

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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.