Evidence map›Paper›PMID 31175398›Full record

SynthesisNeuroradiology2019

Differentiation of lymphomatous, metastatic, and non-malignant lymphadenopathy in the neck with quantitative diffusion-weighted imaging: systematic review and meta-analysis.

Seyedmehdi Payabvash, Alexandria Brackett, Reza Forghani, Ajay Malhotra

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Neuroradiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% 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, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Multi-parametric arterial spin labeling and diffusion-weighted imaging in differentiation of metastatic from reactive lymph nodes in head and neck squamous cell carcinoma.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2021
    Article
  11. Review
  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

4 authors at 3 institutions in 2 countries.

Seyedmehdi PayabvashDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, Box 208042, 333 Cedar St, Tompkins East 2, New Haven, CT, 06520-8042, USA. sam.payabvash@yale.edu.ORCID http://orcid.org/0000-0003-4628-0370
Alexandria BrackettCushing/Whitney Medical Library, Yale School of Medicine, New Haven, CT, USA.
Reza ForghaniDepartment of Radiology, Gerald Bronfman Department of Oncology, and Department of Otolaryngology - Head and Neck Surgery, McGill University, Montreal, QC, Canada.
Ajay MalhotraDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, Box 208042, 333 Cedar St, Tompkins East 2, New Haven, CT, 06520-8042, USA.
Yale University · USMcGill University · CAWhitney Museum of American Art · US

Funding

Fonds de Recherche du Québec - Santé clinical research scholar
6 · The paper itself

Abstract

purposeTo perform a systematic review and meta-analysis of literature comparing average apparent diffusion coefficient (ADC) for differentiating lymphomatous, metastatic, and non-malignant cervical lymphadenopathy.

methodsWe performed a comprehensive literature search of Ovid MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, and Web of Science Core Collection. Studies comparing average ADC of lymphomatous, metastatic, and non-malignant neck lymph nodes were included. The standardized mean difference and 95% confidence interval (CI) was calculated using random-effects models. In subgroup analysis of those studies applying ADC threshold for differentiation of cervical lymphadenopathy, pooled diagnostic odds ratio (DOR) and summary receiver operating characteristics (sROC) area under the curve (AUC) were determined.

resultsA total of 27 studies with 1165 patients were included, pooling data from 225 lymphomatous, 1162 metastatic, and 1333 non-malignant cervical lymph nodes. The average ADC values were lower in lymphomatous compared to metastatic nodes, and in metastatic compared to non-malignant nodes with a standardized mean difference of - 1.36 (95% CI: - 1.71 to - 1.01, p < 0.0001) and - 1.61 (95% CI: - 2.19 to - 1.04, p < 0.0001), respectively. In subgroup analysis, applying ADC threshold could differentiate lymphomatous from metastatic lymphadenopathy with DOR of 52.07 (95% CI 25.45-106.54) and sROC AUC of 0.936 (95% CI 0.896-0.979) and differentiate metastatic from non-malignant nodes with DOR of 39.45 (95% CI 16.92-92.18) and sROC AUC of 0.929 (95% CI 0.873-0.966).

conclusionsQuantitative assessment of ADC can help with differentiation of suspicious cervical lymph nodes, particularly in those patients without prior history of malignancy or unknown primary cancer site.

Indexed as

Diffusion Magnetic Resonance ImagingDiagnosis, DifferentialHead and Neck NeoplasmsHumansLymphadenopathyLymphatic MetastasisApparent diffusion coefficientCervical lymphadenopathyLymphomaMetastasis

Identifiers

PMID31175398
OpenAlexW2954674386

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.