Evidence map›Paper›PMID 42055811›Full record

ReviewThe Journal of international medical research2026

The evidence for the use of peripheral blood indices in the diagnosis of breast cancer.

Zihan Zhou, Yu Zhou, Lin Liang, Biao Wang, Xiaolong Zhang, Yong Fu

Abstract readReview
In one paragraph

Review in The Journal of international medical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Zihan ZhouDepartment of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, P.R. China.ORCID 0009-0006-0711-9268
Yu ZhouDepartment of Breast Surgery, Dianjiang People's Hospital of Chongqing, P.R. China.
Lin LiangDepartment of Breast Surgery, Dianjiang People's Hospital of Chongqing, P.R. China.
Biao WangDepartment of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, P.R. China.
Xiaolong ZhangDepartment of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, P.R. China.
Yong FuDepartment of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnosis at early stages is critical for achieving favorable outcomes in patients with breast cancer. However, early breast cancer is characterized by atypical clinical and imaging manifestations, which are misdiagnosed as benign breast disease. This misdiagnosis may affect the choice of treatment, delay the patient's condition, and affect survival. Therefore, identifying an effective and simple screening method to supplement existing screening methods is of considerable importance for improving diagnostic efficacy. Peripheral blood indices are simple, economical, and readily accessible that include routine blood indices, lipid indices, and coagulation indices. With in-depth research on tumor pathogenesis, the relationships between these indices and tumor development have been gradually revealed, suggesting their potential as diagnostic factors for breast cancer. This narrative review explores the development of peripheral blood indices for diagnosing breast cancer and their potential use in early diagnosis.

Indexed as

Biomarkers, TumorBreast NeoplasmsEarly Detection of CancerFemaleHumansLipidsBiomarkers, TumorLipidsblood cell countsblood lipidsBreast cancercoagulation indicesdiagnosisperipheral blood indices

Identifiers

PMID42055811
PMCPMC13150135

What Socratic 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 Socratic graph.