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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prognostic value of mid-regional pro-adrenomedullin (MR-proADM) in patients with community-acquired pneumonia: a systematic review and meta-analysis
|
|---|---|
| Published in |
BMC Infectious Diseases, May 2016
|
| DOI | 10.1186/s12879-016-1566-3 |
| Pubmed ID | |
| Authors |
Dan Liu, Lixin Xie, Haiyan Zhao, Xueyao Liu, Jie Cao |
| Abstract |
The early identification of patients at risk of dying from community-acquired pneumonia (CAP) is critical for their treatment and for defining hospital resource consumption. Mid-regional pro-adrenomedullin (MR-proADM) has been extensively investigated for its prognostic value in CAP. However, the results are conflicting. The purpose of the present meta-analysis was to explore the diagnostic accuracy of MR-proADM for predicting mortality in patients suffering from CAP, particularly emergency department (ED) patients. We systematically searched the PubMed, Embase, Web of Knowledge and Cochrane databases. Studies were included if a 2 × 2 contingency table could be constructed based on both the MR-proADM level and the complications or mortality of patients diagnosed with CAP. The prognostic accuracy of MR-proADM in CAP was assessed using the bivariate meta-analysis model. We used the Q-test and I (2) index to evaluate heterogeneity. MR-proADM displayed moderate diagnostic accuracy for predicting complications in CAP, with an overall area under the SROC curve (AUC) of 0.74 (95 % CI: 0.70-0.78). Eight studies with a total of 4119 patients in the emergency department (ED) were included. An elevated MR-proADM level was associated with increased risk of death from CAP (RR 6.16, 95 % CI 4.71-8.06); the I (2) value was 0.0 %, and a fixed-effects model was used to pool RR. The pooled sensitivity and specificity were 0.74 (95 % CI: 0.67-0.79) and 0.73 (95 % CI: 0.70-0.77), respectively. The positive likelihood ratio (PLR) and negative likelihood ratio (NLR) were 2.8 (95 % CI, 2.3-3.3) and 0.36 (95 % CI, 0.29-0.45), respectively. In addition, the diagnostic odds ratio (DOR) was 8 (95 % CI, 5-11), and the overall area under the SROC curve was 0.76 (95 % CI, 0.72-0.80). Our study has demonstrated that MR-proADM is predictive of increased complications and higher mortality rates in patients suffering from CAP. Future studies are warranted to determine the prognostic accuracy of MR-proADM in conjunction with severity scores or other biomarkers and to determine an optimal cut-off level. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Venezuela, Bolivarian Republic of | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 8 | 14% |
| Student > Ph. D. Student | 7 | 12% |
| Student > Master | 4 | 7% |
| Student > Doctoral Student | 4 | 7% |
| Student > Postgraduate | 4 | 7% |
| Other | 13 | 23% |
| Unknown | 17 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 35% |
| Nursing and Health Professions | 3 | 5% |
| Agricultural and Biological Sciences | 3 | 5% |
| Immunology and Microbiology | 3 | 5% |
| Social Sciences | 3 | 5% |
| Other | 3 | 5% |
| Unknown | 22 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 June 2016.
All research outputs
#14,853,520
of 22,875,477 outputs
Outputs from BMC Infectious Diseases
#4,092
of 7,690 outputs
Outputs of similar age
#200,073
of 337,044 outputs
Outputs of similar age from BMC Infectious Diseases
#88
of 165 outputs
Altmetric has tracked 22,875,477 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,690 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 337,044 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 165 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.