Evidence map›Paper›PMID 29144164›Full record

ArticleThe British journal of radiology2018

Correlation between obesity and fat-infiltrated axillary lymph nodes visualized on mammography.

Roberta M diFlorio Alexander, Steffen J Haider, Todd MacKenzie, Martha E Goodrich, Julie Weiss, Tracy Onega

Abstract read
In one paragraph

Article in The British journal of radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
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  8. Lipomatosis of axillary lymph nodes in a cynomolgus monkey (Journal of toxicologic pathology · 2022
    Article
  9. Article
  10. Article
  11. The role of imaging in obesity special feature.The British journal of radiology · 2018
    Article
  12. Article
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 at 3 institutions in 1 country.

Roberta M diFlorio Alexander1 Department of Radiology, Dartmouth-Hitchcock Medical Center, One Medical Center Drive , Lebanon, NH , USA.ORCID 0000-0003-0589-8158
Steffen J Haider2 Department of Radiology, New York Presbyterian Hospital/Columbia University Medical Center , New York, NY , USA.
Todd MacKenzie2 Department of Radiology, New York Presbyterian Hospital/Columbia University Medical Center , New York, NY , USA.
Martha E Goodrich3 Department of Biomedical Data Science, The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth One Medical Center Drive , Lebanon, NH , USA.
Julie Weiss3 Department of Biomedical Data Science, The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth One Medical Center Drive , Lebanon, NH , USA.
Tracy Onega3 Department of Biomedical Data Science, The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth One Medical Center Drive , Lebanon, NH , USA.
Dartmouth Institute for Health Policy and Clinical Practice · USNewYork–Presbyterian Hospital · USDartmouth–Hitchcock Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveUsing screening mammography, this study investigated the association between obesity and axillary lymph node (LN) size and morphology.

methodsWe conducted a retrospective review of 188 females who underwent screening mammography at an academic medical centre. Length and width of the LN and hilum were measured in the largest, mammographically visible axillary node. The hilo-cortical ratio (HCR) was calculated as the hilar width divided by the cortical width. Measurements were performed by a board certified breast radiologist and a resident radiology physician. Inter-rater agreement was assessed with Pearson correlation coefficient. We performed multivariable regression analysis for associations of LN measurements with body mass index (BMI), breast density and age.

resultsThere was a strong association between BMI and LN dimensions, hilum dimensions and HCR (p < 0.001 for all metrics). There was no significant change in cortex width with increasing BMI (p = 0.15). Increases in LN length and width were found with increasing BMI [0.6 mm increase in length per unit BMI, 95% CI (0.4-0.8), p < 0.001 and0.3 mm increase in width per unit BMI, 95% CI(0.2-0.4), p < 0.001, respectively]. Inter-rater reliability for lymph node and hilum measurements was 0.57-0.72.

conclusionWe found a highly significant association between increasing BMI and axillary LN dimensions independent of age and breast density with strong interobserver agreement. The increase in LN size was driven by expansion of the LN hilum secondary to fat infiltration. Advances in knowledge: This preliminary work determined a relationship between fat infiltrated axillary lymph nodes and obesity.

Indexed as

MammographyAdipose TissueAdultAxillaBody Mass IndexBreastFemaleHumansLinear ModelsLymph NodesMiddle AgedObesityRetrospective Studies

Identifiers

PMID29144164
PMCPMC6223147
OpenAlexW2770109647

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.