Evidence map›Paper›PMID 26722327›Full record

ArticleOncology letters2015

Prognostic impact of progesterone receptor status combined with body mass index in breast cancer patients treated with adjuvant aromatase inhibitor.

Masahiro Ohara, Etsushi Akimoto, Midori Noma, Kazuo Matsuura, Mihoko Doi, Naoki Kagawa, Toshiyuki Itamoto

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 4 pooled it
0.3field-weighted citation impact, top 37% 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

7 citing papers in PubMed, 4 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. 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

7 authors at 2 institutions in 2 countries.

Masahiro OharaDepartment of Breast Surgery, Hiroshima Prefectural Hospital, Hiroshima 734-8530, Japan.
Etsushi AkimotoDepartment of Breast Surgery, Hiroshima Prefectural Hospital, Hiroshima 734-8530, Japan.
Midori NomaDepartment of Breast Surgery, Hiroshima Prefectural Hospital, Hiroshima 734-8530, Japan.
Kazuo MatsuuraDepartment of Breast Surgery, Hiroshima Prefectural Hospital, Hiroshima 734-8530, Japan.
Mihoko DoiDepartment of Clinical Oncology, Hiroshima Prefectural Hospital, Hiroshima 734-8530, Japan.
Naoki KagawaKagawa Breast Clinic, Hiroshima 730-0029, Japan.
Toshiyuki ItamotoDepartment of Breast Surgery, Hiroshima Prefectural Hospital, Hiroshima 734-8530, Japan.
Hiroshima Prefectural Hospital · JPBreast Center · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aromatase inhibitors have played a central role in endocrine therapy for the treatment of estrogen receptor (ER)-positive breast cancer in postmenopausal patients. However, prognostic factors for recurrence following such treatment have not been identified. The current study aimed to validate the prognostic value of endocrine-related progesterone receptor (PgR) status combined with body mass index (BMI). Among 659 consecutive patients with primary breast cancer who underwent curative surgery between 2002 and 2012, 184 postmenopausal patients with ER-positive (ER+) and human epidermal growth factor receptor type 2-negative (HER2-) breast cancer who were treated with adjuvant aromatase inhibitor therapy were assessed. The patients were assigned to groups based on BMI, according to the WHO cut-off value: ≥25 kg/m

Indexed as

aromatase inhibitorbody mass indexbreast cancerprogesterone receptor

Identifiers

PMID26722327
PMCPMC4665350
OpenAlexW2167214720

What OpenQuestion holds

Textmetadata
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.