Evidence map›Paper›PMID 41777641›Full record

ArticleJBMR plus2026

Growth differentiation factor 15 and the risk of hip fracture in older adults.

Lorenza Mattia, Sheena Patel, Katey Webber, Giuseppe Pugliese, Steven R Cummings, Richard Eastell

Abstract read
In one paragraph

Article in JBMR plus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

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

6 authors.

Lorenza MattiaDepartment of Experimental Medicine, Sapienza University of Rome, 00161, Rome, Italy.ORCID https://orcid.org/0000-0003-4420-7372
Sheena PatelSan Francisco Coordinating Center, California Pacific Medical Center Research Institute, Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, 94158, United States.
Katey WebberInstitute on Aging, San Francisco, CA, 94118, United States.
Giuseppe PuglieseDepartment of Clinical and Molecular Medicine, Sapienza University of Rome, 00189, Rome, Italy.ORCID https://orcid.org/0000-0003-1574-0397
Steven R CummingsSan Francisco Coordinating Center, California Pacific Medical Center Research Institute, Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, 94158, United States.
Richard EastellAcademic Unit of Bone Metabolism, Department of Oncology and Metabolism, University of Sheffield, Sheffield S10 2RX, United Kingdom.ORCID https://orcid.org/0000-0002-0323-3366

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Growth differentiation factor 15 (GDF15) is a protein that is produced by senescent cells during the aging process. Its level in blood increases with age and is associated with an increased risk of several age-related diseases and mortality. We measured GDF15 level in serum archived 1174 men and women aged between 70 and 79 yr in the Health Aging and Body Composition study who had measurements of BMD of the hip, markers of bone turnover (PINP and CTX) and tested for several physical functions (6 m gait speed, standing balance and grip strength, BMI, and appendicular lean mass) and falls, and were followed-up for incident fracture. Cox proportional hazard models were used to estimate hip fracture risk by increasing GDF15 quartiles. The mean GDF15 was significantly higher in men than in women (

Indexed as

aginggrowth differentiation factor 15handgriphip fracturemuscle

Identifiers

PMID41777641
PMCPMC12951078

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.