Evidence map›Paper›PMID 26076348›Full record

ArticlePloS one2015

An Updated Study to Determine Association between Gadolinium-Based Contrast Agents and Nephrogenic Systemic Fibrosis.

Bin Zhang, Long Liang, Wenbo Chen, Changhong Liang, Shuixing Zhang

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 5 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

23 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Guideline
  2. Guideline
  3. Pooled it
  4. Pooled it
  5. Guideline
  6. Gadolinium-Based Contrast Agents and the Theater of Safety.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Review
  15. Imaging of Solid Renal Masses.The Urologic clinics of North America · 2018
    Review
  16. Chronic pulmonary embolism: diagnosis.Cardiovascular diagnosis and therapy · 2018
    Review
  17. Nephrogenic Systemic Fibrosis in a Patient With Multiple Inflammatory Disorders.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2018
    Article
  18. Pulmonary vasculitis: diagnosis and endovascular therapy.Cardiovascular diagnosis and therapy · 2018
    Review
  19. Noninvasive measurement of renal blood flow by magnetic resonance imaging in rats.American journal of physiology. Renal physiology · 2018
    Article
  20. 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

5 authors.

Bin ZhangDepartment of Radiology, Guangdong Academy of Medical Sciences/Guangdong General Hospital, Guangzhou, Guangdong Province, China; Graduate College, Southern Medical University, Guangzhou, China.
Long LiangDepartment of Radiology, Guangdong Academy of Medical Sciences/Guangdong General Hospital, Guangzhou, Guangdong Province, China; Graduate College, Southern Medical University, Guangzhou, China.
Wenbo ChenDepartment of Radiology, Guangdong Academy of Medical Sciences/Guangdong General Hospital, Guangzhou, Guangdong Province, China.
Changhong LiangDepartment of Radiology, Guangdong Academy of Medical Sciences/Guangdong General Hospital, Guangzhou, Guangdong Province, China.
Shuixing ZhangDepartment of Radiology, Guangdong Academy of Medical Sciences/Guangdong General Hospital, Guangzhou, Guangdong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNephrogenic systemic fibrosis (NSF) is a rare but serious disorder disease affecting patients with advanced renal disease. Although multiple studies have indicated an association between gadolinium-based contrast agents (GBCAs) and NSF, some studies published after 2007 found no association. We therefore performed a meta-analysis to evaluate the association and analyze related (co)factors.

methodsStudies for analysis were identified by searching PubMed, Embase, and the Cochrane Central Register of Controlled Trials through December 2014. Pooled odds ratios (OR) with 95% confidence intervals (CI) were calculated using the fixed-effects model. Statistical heterogeneity was assessed by Q statistics and the I2 test. Publication bias was evaluated using Begg's test, Egger's test, funnel plot, and classic fail-safe N. Study quality was assessed using the Newcastle-Ottawa Scale. We also conducted sensitivity analyses, subgroup analyses and a cumulative meta-analysis. All statistical analyses were performed using Comprehensive Meta-Analysis 2.0.

resultsA total of 14 studies (6,398 patients) met the inclusion criteria, but 3 were excluded since they reported no NSF events. Meta-analysis of controlled trials indicated a significant association between GBCAs and NSF development (OR = 16.504; 95% CI: 7.455-36.533; P < 0.001) and between gadodiamide and NSF (OR = 20.037; 95% CI: 3.725-107.784; P < 0.001). No statistical heterogeneity was observed across studies (P = 0.819, I2 = 0%; P = 0.874, I2 = 0%, respectively). Cumulative analysis demonstrated that the pooled ORs for association between GBCAs and NSF decreased post-2007 compared to pre-2007 (OR = 26.708; 95% CI: 10.273-69.436; P<0.001).

conclusionsAlthough this updated meta-analysis found a significant association between GBCAs and the incidence of NSF in patients with advanced renal disease, the association decreased after 2007. More studies, especially randomized controlled trials, are warranted to examine the potential association between GBCAs other than gadodiamide and NSF.

Indexed as

Contrast MediaGadoliniumHumansKidney DiseasesMeta-Analysis as TopicNephrogenic Fibrosing DermopathyRisk FactorsContrast MediaGadolinium

Identifiers

PMID26076348
PMCPMC4468111

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Registered trials

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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.