Evidence map›Paper›PMID 25986335›Full record

Observational studyBone2015

Bone lead (Pb) content at the tibia is associated with thinner distal tibia cortices and lower volumetric bone density in postmenopausal women.

Andy K O Wong, Karen A Beattie, Aakash Bhargava, Marco Cheung, Colin E Webber, David R Chettle, Alexandra Papaioannou, Jonathan D Adachi, Canadian Multicentre Osteoporosis Study (CaMos) Research Group

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Bone, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.3field-weighted citation impact, top 14% 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

20 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Environmental Toxins Are a Major Cause of Bone Loss.Integrative medicine (Encinitas, Calif.) · 2021
    Article
  10. Article
  11. Environmental Substances Associated with Osteoporosis-A Scoping Review.International journal of environmental research and public health · 2021
    Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Observational
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

9 authors at 3 institutions in 1 country.

Andy K O WongOsteoporosis Program, University Health Network, Toronto, ON, Canada; Department of Medicine, McMaster University, Hamilton, ON, Canada. Electronic address: wongko@mcmaster.ca.
Karen A BeattieDepartment of Medicine, McMaster University, Hamilton, ON, Canada.
Aakash BhargavaDepartment of Medicine, McMaster University, Hamilton, ON, Canada.
Marco CheungDepartment of Medicine, McMaster University, Hamilton, ON, Canada.
Colin E WebberDepartment of Nuclear Medicine, McMaster University, Hamilton, ON, Canada.
David R ChettleDepartment of Medical Physics & Applied Radiation Sciences, McMaster University, Hamilton, ON, Canada.
Alexandra PapaioannouHamilton Health Sciences, Hamilton, ON, Canada.
Jonathan D AdachiDepartment of Medicine, McMaster University, Hamilton, ON, Canada.
Canadian Multicentre Osteoporosis Study (CaMos) Research Group
McMaster University · CAHamilton Health Sciences · CAOsteoporosis Canada · CA

Funding

CIHR 88225-1
6 · The paper itself

Abstract

Conflicting evidence suggests that bone lead or blood lead may reduce areal bone mineral density (BMD). Little is known about how lead at either compartment affects bone structure. This study examined postmenopausal women (N=38, mean age 76 ± 8, body mass index (BMI): 26.74 ± 4.26 kg/m(2)) within the Hamilton cohort of the Canadian Multicentre Osteoporosis Study (CaMos), measuring bone lead at 66% of the non-dominant leg and at the calcaneus using (109)Cadmium X-ray fluorescence. Volumetric BMD and structural parameters were obtained from peripheral quantitative computed tomography images (200 μm in-plane resolution, 2.3 ± 0.5mm slice thickness) of the same 66% site and of the distal 4% site of the tibia length. Blood lead was measured using atomic absorption spectrometry and blood-to-bone lead partition coefficients (PBB, log ratio) were computed. Multivariable linear regression examined each of bone lead at the 66% tibia, calcaneus, blood lead and PBB as related to each of volumetric BMD and structural parameters, adjusting for age and BMI, diabetes or antiresorptive therapy. Regression coefficients were reported along with 95% confidence intervals. Higher amounts of bone lead at the tibia were associated with thinner distal tibia cortices (-0.972 (-1.882, -0.061) per 100 μg Pb/g of bone mineral) and integral volumetric BMD (-3.05 (-6.05, -0.05) per μg Pb/g of bone mineral). A higher PBB was associated with larger trabecular separation (0.115 (0.053, 0.178)), lower trabecular volumetric BMD (-26.83 (-50.37, -3.29)) and trabecular number (-0.08 (-0.14, -0.02)), per 100 μg Pb/g of bone mineral after adjusting for age and BMI, and remained significant while accounting for diabetes or use of antiresorptives. Total lead exposure activities related to bone lead at the calcaneus (8.29 (0.11, 16.48)) and remained significant after age and antiresorptives-adjustment. Lead accumulated in bone can have a mild insult on bone structure; but greater partitioning of lead in blood versus bone revealed more dramatic effects on both microstructure and volumetric BMD.

Indexed as

AgedBone and BonesBone DensityCohort StudiesCross-Sectional StudiesFemaleHumansLeadPostmenopauseTibiaTomography, X-Ray ComputedLeadBlood lead concentrationBone lead contentBone mineral densityBone structurepQCTXRF

Identifiers

PMID25986335
PMCPMC5092152
OpenAlexW1962901275

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.