Evidence map›Paper›PMID 29791474›Full record

Observational studyPloS one2018

Growth differentiation factor-15 levels and the risk of contrast induced nephropathy in patients with acute myocardial infarction undergoing percutaneous coronary intervention: A retrospective observation study.

Ling Sun, Xuejun Zhou, Jianguang Jiang, Xuan Zang, Xin Chen, Haiyan Li, Haitao Cao, Qingjie Wang

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 30% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Ling SunDepartment of Cardiology, Changzhou No.2 people's Hospital, Affiliated to Nanjing Medical University, Changzhou, China.
Xuejun ZhouDepartment of Cardiology, Changzhou No.2 people's Hospital, Affiliated to Nanjing Medical University, Changzhou, China.
Jianguang JiangDepartment of Cardiology, Changzhou No.2 people's Hospital, Affiliated to Nanjing Medical University, Changzhou, China.
Xuan ZangDepartment of Cardiology, Changzhou No.2 people's Hospital, Affiliated to Nanjing Medical University, Changzhou, China.
Xin ChenDepartment of Cardiology, Changzhou No.2 people's Hospital, Affiliated to Nanjing Medical University, Changzhou, China.
Haiyan LiDepartment of Cardiology, Changzhou No.2 people's Hospital, Affiliated to Nanjing Medical University, Changzhou, China.
Haitao CaoDepartment of Cardiology, Changzhou No.2 people's Hospital, Affiliated to Nanjing Medical University, Changzhou, China.
Qingjie WangDepartment of Cardiology, Changzhou No.2 people's Hospital, Affiliated to Nanjing Medical University, Changzhou, China.ORCID 0000-0002-7944-8128
Changzhou No.2 People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo investigate the association between growth differentiation factor-15 (GDF-15) and contrast-induced nephropathy (CIN) in patients with acute myocardial infarction (AMI) undergoing percutaneous coronary intervention (PCI).

methodsA total of 311 patients with AMI were studied retrospectively. All patients were divided into two groups according to the occurrence of CIN after PCI. Baseline clinical data were compared between two groups. Multivariate logistic regression analysis was used to identify the risk factors for CIN. Cox regression analysis was used to identify the association between GDF-15, CIN and short-term outcome.

resultsThere were 80 patients in CIN group (average age was 71.60 ± 13.00 years; 67.5% male) and 231 patients in non-CIN group (average age was 63.80 ± 11.70 years; 71.9%male). The concentration of GDF-15 in CIN group was higher than that of non-CIN group (1232 ± 366.6 ng/L vs. 939.20 ± 309.6 ng/L, P <0.001). According to GDF-15 quartiles, patients were divided into four groups. Multivariate logistic model indicated that the highest quartile(Q4) was significantly associated with an increased risk of CIN compared with lower level of GDF-15 (Q1, Q2 and Q3) (OR : 3.572, 1.803-7.078, P < 0.001). Of 243 patients who could calculate the ACEF risk score, area under the curve (AUC) of GDF-15 was 0.793, 95%CI: 0.729-0.856, P < 0.001, while AUC of ACEF was 0.708, 95%CI: 0.630-0.786, P < 0.001. Using 10% and 30% as arbitrary thresholds to define patients at low, intermediate, and high risk, GDF-15 achieved a net reclassification improvement (NRI) of 0.32 (95%CI: 0.123-0.518, P = 0.001) compared with the ACEF risk score. Cox regression model showed that high concentration of GDF-15 (Q4) was significantly associated with an increased risk of all-cause mortality and major adverse clinical events (MACE) (HR: 8.434, 95%CI: 2.650-26.837, P <0.001; HR: 3.562, 95%CI: 1.658-7.652, P = 0.001) compared with low level of GDF-15 (Q1, Q2 and Q3). CIN was an independent predictor of all-cause mortality and MACE in AMI patients (HR: 3.535, 95%CI: 1.135-11.005, P = 0.029; HR: 5.154, 95%CI: 2.228-11.925, P <0.001).

conclusionGDF-15 levels increased in CIN group in AMI patients underwent PCI. GDF-15 was an independent risk factor for CIN in AMI patients underwent PCI. GDF-15 level and CIN are independent risk factors for all-cause mortality and MACE in short-term follow-ups.

Indexed as

Percutaneous Coronary InterventionAgedBiomarkersFemaleGrowth Differentiation Factor 15HumansKidney DiseasesMaleMyocardial InfarctionRetrospective StudiesRisk AssessmentTreatment OutcomeBiomarkersGDF15 protein, humanGrowth Differentiation Factor 15

Identifiers

PMID29791474
PMCPMC5965881
OpenAlexW2804836969

What OpenQuestion holds

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LicenceCC BY
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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.