Evidence map›Paper›PMID 40486605›Full record

ReviewAnnals of medicine and surgery (2012)2025

Revolutionizing breast cancer monitoring: emerging hematocrit-based metrics - a narrative review.

Emmanuel Ifeanyi Obeagu, Getrude Uzoma Obeagu

Abstract readReview
In one paragraph

Review in Annals of medicine and surgery (2012), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

2 authors.

Emmanuel Ifeanyi ObeaguDepartment of Biomedical and Laboratory Science, Africa University, Mutare, Zimbabwe.
Getrude Uzoma ObeaguSchool of Nursing Science, Kampala International University, Ishaka, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer remains a leading global health concern, with significant strides made in early detection and treatment. However, effective long-term surveillance, particularly for recurrence and metastasis, remains a clinical challenge. Traditional methods like imaging and biopsy are often invasive, costly, and have limited sensitivity in detecting subtle changes during disease progression. Emerging evidence suggests that hematocrit-based metrics - measurements of the proportion of red blood cells (RBCs) in blood - could serve as valuable, minimally invasive biomarkers for monitoring breast cancer. This review highlights recent advancements in hematocrit-focused research and its potential role in revolutionizing breast cancer surveillance. Hematocrit dynamics reflect complex physiological processes influenced by cancer biology, including inflammation, angiogenesis, and treatment-induced bone marrow suppression. Alterations in hematocrit levels have been associated with prognostic outcomes, treatment responses, and early indications of recurrence in breast cancer patients. Coupled with other hematological and molecular markers, hematocrit offers a cost-effective and readily accessible tool to track disease status in real time. Recent technological innovations, such as point-of-care testing, artificial intelligence-driven data analysis, and microfluidic devices, are further advancing the applicability of hematocrit-based metrics in both clinical and remote monitoring settings.

Indexed as

biomarkersbreast cancerdynamic monitoringhematocrit metricssurveillance

Identifiers

PMID40486605
PMCPMC12140720

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.