Evidence map›Paper›PMID 38766483›Full record

ArticlePeerJ2024

The prognostic value of preoperative neoindices consisting of lymphocytes, neutrophils and albumin (LANR) in operable breast cancer: a retrospective study.

Yuan Wang, Jiaru Zhuang, Shan Wang, Yibo Wu, Ling Chen

Abstract read
In one paragraph

Article in PeerJ, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. The prealbumin-CD19BMC cancer · 2025
    Article
  6. 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

5 authors.

Yuan Wang *Human Reproductive and Genetic Center, Affiliated Hospital of Jiangnan University, Wuxi, China.
Jiaru Zhuang *Human Reproductive and Genetic Center, Affiliated Hospital of Jiangnan University, Wuxi, China.
Shan WangHuman Reproductive and Genetic Center, Affiliated Hospital of Jiangnan University, Wuxi, China.
Yibo WuHuman Reproductive and Genetic Center, Affiliated Hospital of Jiangnan University, Wuxi, China.
Ling ChenDepartment of Breast Surgery, Affiliated Hospital of Jiangnan University, Wuxi, China.

Funding

Beijing Bethune charitable FoundationMading the Taihu Lake Talent PlanTop Talent Support Program for Young and Middle-aged people of Wuxi Health Committee
6 · The paper itself

Abstract

Background: Preoperative inflammatory factors and nutritional status are strongly associated with the prognosis of a variety of cancers. We explored the relationship between preoperative lymphocytes, neutrophils and albumin (LANR) and progression-free survival in breast cancer patients. Methods: The clinical and follow-up data of 200 breast cancer patients were retrospectively analyzed in this study, and the value of LANR was determined as follows: LANR, lymphocytes × albumin/neutrophils. ROC curves, COX proportional risk regression analysis and subgroup analysis were used to assess the prognostic value of LANR in progression-free survival of breast cancer patients. Results: The median age of the patients was 55.5 years (range 50-62 years). The median follow-up time was 46 months (range 33-55 months). In progression-free survival, the area under the LANR curve was 0.748 and the HR (95% CI) was 0.035 (0.679-0.817). LANR was associated with age ( Conclusion: LANR may be an essential predictor for breast cancer patients and provides a therapeutic basis for clinicians and patients.

Indexed as

Breast NeoplasmsLymphocytesNeutrophilsFemaleHumansMiddle AgedPreoperative PeriodPrognosisProgression-Free SurvivalRetrospective StudiesROC CurveSerum AlbuminSerum AlbuminAlbuminBreast cancerLymphocytesNeutrophilsPrognosisProgression-free survival

Identifiers

PMID38766483
PMCPMC11102052

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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.