Evidence map›Paper›PMID 24948974›Full record

ArticlePakistan journal of medical sciences2014

Clinical pathologies of breast cancer in the elderly and youths and their prognosis.

Hong Ji, Ning Ai, Qinghuai Li, Kaili Zhang, Wang Di

Open access · hybridAbstract read
In one paragraph

Article in Pakistan journal of medical sciences, 2014. 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, top 94% of its field
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, 3 citations in OpenAlex.

  1. Article
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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 at 1 institution in 1 country.

Hong JiHong Ji, Department of General Surgery, The Second Hospital of Hebei Medical University, Shijiazhuang 050000, P. R. China.
Ning AiNing Ai, Department of Radiology, The Fourth Hospital of Hebei Medical University, Shijiazhuang 050000, P. R. China.
Qinghuai LiQinghuai Li, Department of General Surgery, The Second Hospital of Hebei Medical University, Shijiazhuang 050000, P. R. China.
Kaili ZhangKaili Zhang, Department of General Surgery, The Second Hospital of Hebei Medical University, Shijiazhuang 050000, P. R. China.
Wang DiWang Di, Department of General Surgery, The Second Hospital of Hebei Medical University, Shijiazhuang 050000, P. R. China.
Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the correlation between the clinical pathologies of breast cancer in the elderly and youths as well as their prognosis.

methodsTwo hundred and eighty breast cancer patients were divided into a youth group (<60, n=120) and an elderly group (≥60, n=160) according to the age. Their routine clinical pathological indices and immune indices were observed and determined, and the prognosis was observed after effective treatment.

resultsThe positive expression rates of p63, CK5/6, CK14 and CK17 in the elderly group were significantly higher than those of the youth group (P<0.05). The tumor-free survival rate of the youth group (95.8%) was significantly higher than that of the elderly group (84.4%) (P<0.05). Multivariate Logistic regression analysis showed that the positive expressions of p63 and estrogen receptor, age, and postoperative chemotherapy were the independent risk factors of tumor-free survival rate (P<0.05).

conclusionThe immunohistochemical typing characteristics of the elderly and youths were different, and the prognosis of young patients was better, being correlated with the typing.

Indexed as

AgeBreast cancerImmunohistochemistryPathological characteristicsPrognosis

Identifiers

PMID24948974
PMCPMC4048501
OpenAlexW1995819889

What OpenQuestion holds

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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.