Evidence map›Paper›PMID 38850515›Full record

ArticleCancer control : journal of the Moffitt Cancer Center

Development and Validation of a Nomogram for Predicting Survival Based on Ferritin and Transferrin Ratio in Breast Cancer Patients.

Shuqing Huang, Hao Lai, Xiaolan Pan, Qiumei Lin, Yuling Qin, Fengfei Liu, Min Fang, Wencheng Huang, Caibiao Wei

Abstract readValidation Study
In one paragraph

Article in Cancer control : journal of the Moffitt Cancer Center. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Shuqing HuangDepartment of State-owned Asset Supervision and Administration Office, Guangxi Medical University Cancer Hospital, Nanning, China.
Hao LaiDepartment of Guangxi Clinical Research Center for Colorectal Cancer, Guangxi Medical University Cancer Hospital, Nanning, China.
Xiaolan PanDepartment of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, China.
Qiumei LinDepartment of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, China.
Yuling QinDepartment of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, China.ORCID 0000-0001-7035-4072
Fengfei LiuDepartment of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, China.
Min FangDepartment of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, China.
Wencheng HuangDepartment of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, China.
Caibiao WeiDepartment of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, China.ORCID 0009-0007-5564-7695

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOur objective is to develop a predictive model utilizing the ferritin and transferrin ratio (FTR) and clinical factors to forecast overall survival (OS) in breast cancer (BC) patients.

methodsWe conducted a retrospective analysis of clinical data from 2858 BC patients diagnosed between 2013 and 2021. Subsequently, the cohort of 2858 BC patients underwent random assignment into distinct subsets: a training cohort comprising 2002 patients and a validation cohort comprising 856 patients, maintaining a proportional ratio of 7:3. Employing multivariable Cox regression analysis within the training cohort, we derived a prognostic nomogram. The predictive performance was assessed using calibration curves, C-index, and decision curve analysis.

resultsThe final prognostic model included the TNM stage, subtype, hemoglobin levels, and the ferritin-transferrin ratio. The nomogram achieved a C-index of .794 (95% CI: .777-.810). The nomogram demonstrated superior predictive accuracy for OS at 3, 5, and 7 years for BC, with area under the time-dependent curves of .812, .782, and .773, respectively. These values notably outperformed those of the conventional TNM stage. Decision curve analysis reaffirmed the greater net benefit of our nomogram compared to the TNM stage. These findings were subsequently validated in the independent validation cohort.

conclusionThe FTR-based prognostic model may predict a patient's OS better than the TNM stage in a clinical setting. The nomogram can provide an early, affordable, and reliable tool for survival prediction, as well as aid clinicians in treatment option-making and prognosis evaluation. However, further multi-center prospective trials are required to confirm the reliability of the existing nomogram.

Indexed as

Breast NeoplasmsFerritinsNomogramsTransferrinAdultAgedFemaleHumansMiddle AgedNeoplasm StagingPrognosisRetrospective StudiesFerritinsTransferrinbreast cancerferritin and transferrin rationomogramprognosis

Identifiers

PMID38850515
PMCPMC11162600

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.