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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting developmental outcomes in premature infants by term equivalent MRI: systematic review and meta-analysis
|
|---|---|
| Published in |
Systematic Reviews, May 2015
|
| DOI | 10.1186/s13643-015-0058-7 |
| Pubmed ID | |
| Authors |
Janneke van’t Hooft, Johanna H. van der Lee, Brent C. Opmeer, Cornelieke S. H. Aarnoudse-Moens, Arnold G. E. Leenders, Ben Willem J. Mol, Timo R. de Haan |
| Abstract |
This study aims to determine the prognostic accuracy of term MRI in very preterm born (≤32 weeks) or low-birth-weight (≤1500 g) infants for long-term (>18 months) developmental outcomes. We performed a systematic review searching Central, Medline, Embase, and PsycInfo. Two independent reviewers performed study selection, data extraction, and quality assessment. We documented sensitivity and specificity for three different MRI findings (white matter abnormalities (WMA), brain abnormality (BA), and diffuse excessive high signal intensity (DEHSI)), related to developmental outcomes including cerebral palsy (CP), visual and/or hearing problems, motor, neurocognitive, and behavioral function. Using bivariate meta-analysis, we estimated pooled sensitivity and specificity and plotted summary receiver operating characteristic (sROC) curves for different cut-offs of MRI. We included 20 papers published between 2000 and 2013. Quality of included studies varied. Pooled sensitivity and specificity values (95 % confidence interval (CI)) for prediction of CP combining the three different MRI findings (using normal/mild vs. moderate/severe cut-off) were 77 % (53 to 91 %) and 79 % (51 to 93 %), respectively. For prediction of motor function, the values were 72 % (52 to 86 %) and 62 % (29 to 87 %), respectively. Prognostic accuracy for visual and/or hearing problems, neurocognitive, and/or behavioral function was poor. sROC curves of the individual MRI findings showed that presence of WMA provided the best prognostic accuracy whereas DEHSI did not show any potential prognostic accuracy. This study shows that presence of moderate/severe WMA on MRI around term equivalent age can predict CP and motor function in very preterm or low-birth-weight infants with moderate sensitivity and specificity. Its ability to predict other long-term outcomes such as neurocognitive and behavioral impairments is limited. Also, other white matter related tests as BA and DEHSI demonstrated limited prognostic value. PROSPERO CRD42013006362. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 148 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 18% |
| Student > Master | 25 | 17% |
| Student > Ph. D. Student | 20 | 13% |
| Student > Doctoral Student | 12 | 8% |
| Student > Bachelor | 10 | 7% |
| Other | 24 | 16% |
| Unknown | 32 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 42 | 28% |
| Neuroscience | 22 | 15% |
| Psychology | 16 | 11% |
| Nursing and Health Professions | 9 | 6% |
| Computer Science | 3 | 2% |
| Other | 19 | 13% |
| Unknown | 39 | 26% |
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 27 May 2015.
All research outputs
#14,570,412
of 23,337,345 outputs
Outputs from Systematic Reviews
#1,523
of 2,022 outputs
Outputs of similar age
#139,924
of 266,945 outputs
Outputs of similar age from Systematic Reviews
#27
of 40 outputs
Altmetric has tracked 23,337,345 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,022 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one is in the 22nd percentile – i.e., 22% 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 266,945 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.