Evidence map›Paper›PMID 40484689›Full record

ArticleEndocrine journal2025

Body mass index and metabolic complications in individuals with treatment-naïve acromegaly.

Naoki Yamamoto, Shin Urai, Masaaki Yamamoto, Masaki Suzuki, Yasutaka Tsujimoto, Hironori Bando, Yuma Motomura, Yuka Ohmachi, Yuriko Sasaki, Yuka Oi-Yo and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Endocrine journal, 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. Review
  3. Acromegaly complications: an update.The Journal of clinical endocrinology and metabolism · 2026
    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

14 authors.

Naoki YamamotoDivision of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe 650-0017, Japan.ORCID http://orcid.org/0009-0004-4084-9655
Shin UraiDivision of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Hospital, Kobe 650-0017, Japan.ORCID http://orcid.org/0000-0002-7996-232X
Masaaki YamamotoDivision of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe 650-0017, Japan.ORCID http://orcid.org/0000-0002-7000-8134
Masaki SuzukiDivision of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe 650-0017, Japan.
Yasutaka TsujimotoDivision of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe 650-0017, Japan.
Hironori BandoDivision of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Hospital, Kobe 650-0017, Japan.ORCID http://orcid.org/0000-0002-7421-2714
Yuma MotomuraDivision of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe 650-0017, Japan.
Yuka OhmachiDivision of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe 650-0017, Japan.
Yuriko SasakiDivision of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe 650-0017, Japan.
Yuka Oi-YoDivision of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe 650-0017, Japan.
Michiko TakahashiDivision of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Hospital, Kobe 650-0017, Japan.
Genzo IguchiDivision of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe 650-0017, Japan.
Hidenori FukuokaDivision of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Hospital, Kobe 650-0017, Japan.ORCID http://orcid.org/0000-0001-9255-653X
Wataru OgawaDivision of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe 650-0017, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Body mass index (BMI) can be used to define obesity-a global health concern and a risk factor for various complications. However, it does not accurately represent body composition. Furthermore, a correlation between BMI and the frequency of comorbidities in patients with acromegaly, a condition that affects body composition, remains unclear. This study aimed to investigate the association between BMI and frequency of metabolic complications in patients with acromegaly. This single-center, retrospective, cross-sectional study included patients with untreated acromegaly. The patients were divided into two groups: BMI <25 kg/m

Indexed as

AcromegalyBody Mass IndexMetabolic DiseasesObesityAdultAgedCross-Sectional StudiesFemaleHumansInsulin-Like Growth Factor IMaleMiddle AgedPrevalenceRetrospective StudiesIGF1 protein, humanInsulin-Like Growth Factor IAcromegalyBody mass indexInsulin-like growth factor-1Metabolic complicationsObesity

Identifiers

PMID40484689
PMCPMC12436081

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.