Newcastle-Ottawa Scale: comparing reviewers’ to authors’ assessments
© Lo et al.; licensee BioMed Central Ltd. 2014
Received: 7 October 2013
Accepted: 17 March 2014
Published: 1 April 2014
Lack of appropriate reporting of methodological details has previously been shown to distort risk of bias assessments in randomized controlled trials. The same might be true for observational studies. The goal of this study was to compare the Newcastle-Ottawa Scale (NOS) assessment for risk of bias between reviewers and authors of cohort studies included in a published systematic review on risk factors for severe outcomes in patients infected with influenza.
Cohort studies included in the systematic review and published between 2008–2011 were included. The corresponding or first authors completed a survey covering all NOS items. Results were compared with the NOS assessment applied by reviewers of the systematic review. Inter-rater reliability was calculated using kappa (K) statistics.
Authors of 65/182 (36%) studies completed the survey. The overall NOS score was significantly higher (p < 0.001) in the reviewers’ assessment (median = 6; interquartile range [IQR] 6–6) compared with those by authors (median = 5, IQR 4–6). Inter-rater reliability by item ranged from slight (K = 0.15, 95% confidence interval [CI] = −0.19, 0.48) to poor (K = −0.06, 95% CI = −0.22, 0.10). Reliability for the overall score was poor (K = −0.004, 95% CI = −0.11, 0.11).
Differences in assessment and low agreement between reviewers and authors suggest the need to contact authors for information not published in studies when applying the NOS in systematic reviews.
KeywordsNewcastle Ottawa Scale Inter-rater Reliability Validity Risk of bias Observational studies
One of the most important aspects of systematic reviews is the assessment of the risk of bias of included studies . Evaluating the reliability and validity of risk of bias assessment scores can help generate better assessment tools. The Newcastle-Ottawa Scale (NOS) is a risk of bias assessment tool for observational studies that is recommended by the Cochrane Collaboration [1, 2]. Some characteristics of this tool have been assessed, such as inter-rater reliability, which has been variable ranging from fair to high depending on the types of observational studies assessed and the raters [3, 4]. In addition to the potentially limited inter-rater reliability, lack of reporting of methodological details in published articles may potentially distort the risk of bias assessment as it was shown for randomized controlled trials (RCT) [5, 6].
The objectives of our study were therefore to compare the NOS assessment between reviewers with access to the publications only and the authors of published studies, using the list of studies included in a recently published systematic review of observational studies on risk factors to predict severe outcomes in patients with influenza . We hypothesized that reviewers in the systematic review who had to rely on the published information would have assigned lower NOS scores (i.e., greater risk of bias) compared with its authors, and that the agreement between authors and reviewers would be marginal.
Authors of studies included in a published systematic review on risk factors for severe outcomes in patients with influenza and published between 2008 and 2011 were included . More remote publications were not considered, as the contact information was more likely no longer accurate and authors may not recall details of their studies.
Quality assessment: NOS and NOS-derived survey
The NOS assigns up to a maximum of nine points for the least risk of bias in three domains: 1) selection of study groups (four points); 2) comparability of groups (two points); and 3) ascertainment of exposure and outcomes (three points) for case–control and cohort studies, respectively (Additional file 1) . Survey questions were developed based on the NOS’ questions covering all three domains so that authors could provide detailed information about their studies. Because the NOS questionnaires are slightly different between case–control and cohort studies, two surveys were created.
Vaccination status for influenza and antiviral treatment were defined as the most important covariates that defined comparability, consistent with the NOS assessment conducted by the reviewers in the systematic review .
The corresponding author and the first author were contacted by email and were provided with the link to the actual electronic survey. An online survey was provided to all authors where their name, responses and timestamp were securely documented. Authors were required to respond to all questions provided prior to submission and answered follow-up questions only when prompted to. An example of a follow-up question: For ascertainment of exposure, authors who claimed using structured interviews had to also report whether the interviewers were blinded to exposure status. A feedback form was provided at the end of the survey for authors to comment on the survey. A total of two reminders were sent to authors not completing the survey.
Questions in the survey were matched to the original NOS items, so that points were awarded to the respective answers.
Differences in the NOS scores between the reviewers’ and authors’ assessment were compared with the Wilcoxon paired sign-rank test.
Inter-rater agreement Cohen’s kappa was used to compare agreement between the reviewers from the systematic review and the authors’ assessments. The scores were compared between raters across each NOS domain or item. Weighted kappa was performed for variables with more than two classifications (i.e., comparability had scores of 0, 1, and 2). A weighted kappa was also performed for the total NOS scores.
Agreement interpretation was based on established categorizations: poor (K < 0.00), slight (0.00-0.20), fair (0.21-0.40), moderate (0.41-0.60), substantial (0.61-0.80), and almost perfect (0.81-1.00) .
MedCalc® was used for all weighted/non-weighted kappa analyses [9, 10] and for the Wilcoxon paired sign-rank test. Mean and standard deviation (SD), median and interquartile range (IQR) were reported.
Of the 239 studies included in the systematic review, 196 studies (82%; 6 case–control and 190 cohort studies) met the inclusion criteria for this study (i.e., published from 2008 to 2011). Six cohort studies were excluded, as there was no information on contacting authors (three articles published by the World Health Organization (WHO) and three articles by Centre for Disease Control and Prevention (CDC)). An additional two studies were excluded, as contacting authors could not be identified.
Authors of 65/182 (36%) eligible cohort studies and 2/6 (33%) case–control studies completed the survey (Additional files 2 and 3). Given the sparse data on case–control studies, these studies were excluded from analysis.
Reviewer assessment was similar for included (n = 65, mean NOS score = 5.85, median = 6, IQR 6–6) and excluded studies (n = 117, mean = 5.81, median = 6, IQR 5–6).
Inter-rater reliability on the Newcastle-Ottawa Scale (NOS) assessments, by item
Agreement K(95% CI)
0 point differencec
±1 point differencec
> ±2 points differencec
Representativeness of the exposed cohort
0.03 (−0.10, 0.15)
Selection of the non-exposed cohort
0.00 (0.00, 0.00)
Ascertainment of exposure
−0.02 (−0.08, 0.04)
Demonstration that outcome of interest was not present at start of study
0.09 (−0.16, 0.35)
0.00a (−0.11, 0.12)
Assessment of outcome
−0.04 (−0.09, 0.00)
Was follow-up long enough for outcomes to occur
−0.06 (−0.22, 0.10)
Adequacy of follow-up of cohorts
0.15 (−0.19, 0.48)
Total NOS score
−0.004a (−0.11, 0.11)
Total categorized NOS score
0.14b (−0.02, 0.29)
A second inter-rater reliability test was performed using weighted kappa (K) comparing total NOS scores categorized into three groups: very high risk of bias (0 to 3 NOS points), high risk of bias (4 to 6), and low risk of bias (7 to 9). Quadratic kappa was applied because the groups “very high risk” vs. “high risk” and “high risk” vs. “low risk” were treated as comparably different. Reliability for the categorized total NOS score was slight (K = 0.14, 95% CI = −0.02, 0.29; Table 1). Compared with the poor agreement from the initial inter-rater reliability test, the categorized NOS score showed better but still only slight agreement.
By comparing overall scores and inter-rater reliability of the NOS quality assessment tool between reviewers and authors, we found remarkably low inter-rater reliability. The majority of the cohort studies were rated as being at higher risk of bias by authors than by reviewers. That is, the reviewers assigned higher NOS scores by two or more points of a total of nine points for the overall NOS score.
Inter-rater reliability between authors and reviewers was remarkably low and the agreement across items was only minimal. The item about adequacy of follow-up of cohorts had the highest kappa value of 0.15 (95% CI = −0.19, 0.48), despite being considered only as slight agreement. The comparably small room for subjectivity might explain the relatively high kappa value given that the authors simply had to indicate whether or not there was loss to follow-up for their cohort, and whether it would potentially have introduced bias into their study. The overall lack of agreement between reviewers and authors persisted even after performing a second inter-rater reliability test when categorizing into three groups of risk of bias. Of note, the difference in NOS scores was 2 or higher in almost half of the studies. While one may argue that a one point difference would not have any practical implications, a two point difference would likely be regarded as clinically important given that this would reflect a >20% (i.e., 2/9 points) difference in the assessment.
One possible explanation for these differences is that the reviewers may not have had all information needed available from the published article in order to assess the risk of bias reliably. For example, when evaluating representativeness of exposed cohort reviewers may treat the study population as truly representative, but the author knew that the study group was not representative for the average population in the respective setting.
Methodological studies have found that reviewers may overestimate the risk of bias of randomized controlled trials due to unclear or lacking details from insufficient reporting by authors [5, 6]. In one of these studies involving 98 RCTs, 55% failed to report allocation concealment and from 25% to 96% did not report blinding status (e.g., for participants, data analysts) . However, once authors were contacted, it was noted that appropriate concealment and blinding were in fact in place in many of these studies . In other words, reviewers without the unpublished details from authors would have overestimated the risk of bias for RCTs, contrary to our findings when using NOS for observational studies. One possible explanation might be that NOS allows for more subjectivity than when assessing RCTs; lack of information in RCTs automatically results in higher risk of bias, whereas NOS requires the reviewer to decide subjectively on the risk of bias for each item based on the information available in the report. Others have also found the NOS tool’s decision rules and guidelines to be vague and difficult to use . For example, the difference between a “structured interview” and “written self-report” was difficult to determine if the study used a structured validated survey that was completed independently by study participants . Similar ambiguity was found in our investigation for the item ascertainment of exposure, where NOS reviewers identified 59 of the 65 cohort studies using secure records (i.e., one point assigned). In contrast, 44 out of the 65 authors claimed to be using medical records (i.e., no points assigned).
The developers of the NOS evaluated the tool for face and criterion validity by comparing it with an established scale by Downs and Black . Ten cohort and 10 case–control studies about the association between breast cancer and hormone replacement therapy were examined. Criterion validity showed strong and moderate agreement for cohort (intra-class correlation coefficient [ICC] = 0.88) and case–control studies (ICC = 0.62), respectively. Inter-rater reliability was also high for both cohort (ICC = 0.94) and case–control studies (ICC = 0.82).
To our knowledge, only two other studies have examined inter-rater reliability of NOS other than those conducted by the developers of the tool [3, 4]. Contrary to findings from developers of the tool, other studies have found overall low inter-rater reliability. In a study by Hartling , two reviewers applied NOS to 131 cohort studies included in eight meta-analyses on different medical topics. Inter-rater reliability between reviewers ranged from poor (K = −0.06, 95% CI = −0.20, 0.07) to substantial (K = 0.68, 95% CI = 0.47, 0.89), although eight out of nine of the NOS items had K values <0.50 . Reliability for overall NOS score was fair (K = 0.29, 95% CI = 0.10, 0.47). A similar lack of agreement was found in a study applying the NOS to observational studies on cognitive impairment following electroconvulsive therapy for major depressive disorders . Using inexperienced student raters, inter-rater reliability for cohort studies ranged from K = −0.14 (95% CI = −0.28, 0.00) to K = 0.39 (95% CI = −0.02, 0.81), and for case–control studies from K = −0.20 (95% CI = −0.49, 0.09) to K = 1.00 (95% CI = 1.00, 1.00). All nine of the NOS items and seven out of nine items had K values <0.50 for cohort and case–control studies, respectively. However, the findings of the latter study may also explain to some extent the disagreement between methodically trained reviewers and authors of study: In our study, the disagreement between raters may also have been attributable to the authors’ lack of experience applying the NOS.
One limitation of our study was the relatively small sample size of 65 cohort studies. With a response rate of 36%, selection bias may be present as authors who responded to the survey might have a different level of expertise and interest in research methodology than non-responders. Also, all studies included were from one field of medicine. Notably however, the reviewer assessments of the risk of bias were similar for the included and excluded studies. It remains unclear whether the difference between the reviewer and author’s assessments were due to different information available to them for assessment, or whether authors’ lack of familiarity with the NOS tool resulted in this finding. Given that the one item (i.e., representativeness of the exposed cohort) that would not need to be downgraded based on lack of information was similarly low in agreement as items that would expect downgrading for lack of reporting, subjective interpretation was probably the primary driver resulting in the low agreement between reviewers and authors. This would emphasize, as suggested by Hartling  and Oremus , that training and detailed guidance is needed in order to appropriately apply the NOS. Although the survey explained in detail how the assessment should be conducted, lack of familiarity with the NOS tool by the authors may have negatively affected their performance.
Another limitation is the nature of the inter-rater reliability test, that is, some have considered kappa to be an overly conservative measure of agreement . Since the kappa value depends on the observed categories’ frequencies, the test might underestimate agreement for a category. An example was the item selection of the non-exposed cohort, where 82% of the time both reviewers and authors agreed that the non-exposed were derived from the same population as the exposed (i.e., one point assigned). However, there were no occurrences where both raters agreed that the non-exposed were not derived from the same population as the exposed, which resulted in an underestimation of the agreement. A larger sample of studies may have circumvented this problem.
It remains unclear whether the difference between the reviewer and authors’ assessment and low inter-rater reliability was due to lack of information available to reviewers in published influenza papers, or whether it was the authors’ lack of familiarity with the NOS items. However, it is prudent to conclude that systematic reviewers should contact authors for information not published in the study to supplement the use of the risk of bias assessment tool. The room for subjectivity in the NOS tool may have negatively affected inter-rater reliability. Revised or new instruments using less subjective items may improve inter-rater reliability and potentially validity of the risk of bias assessment of observational studies in systematic review.
Randomized controlled trial
World Health Organization
Centre for Disease Control and Prevention
Intra-class correlation coefficient.
DM is a recipient of a Research Early Career Award from Hamilton Health Sciences Foundation (Jack Hirsh Fellowship). ML holds the Michael G. DeGroote Chair in Infectious Diseases at McMaster University.
- Cochrane handbook for systematic reviews of interventions version 5.1.0 [updated March 2011]. Edited by: Higgins JPT, Green S. [http://www.cochrane-handbook.org]
- Wells G, Shea B, O’Connell D, Peterson J, Welch V, Losos M, Tugwell P: The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses. 2013, http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp,Google Scholar
- Hartling L, Milne A, Hamm MP, Vandermeer B, Ansari M, Tsertsvadze A, Dryden DM: Testing the Newcastle Ottawa Scale showed low reliability between individual reviewers. J Clin Epidemiol. 2013, 66: 982-993. 10.1016/j.jclinepi.2013.03.003.View ArticlePubMedGoogle Scholar
- Oremus M, Oremus C, Hall GBC, McKinnon MC, ECT & Cognition Systematic Review Team: Inter-rater and test–retest reliability of quality assessments by novice student raters using the Jadad and Newcastle–Ottawa Scales. BMJ Open. 2012, 2: e001368-View ArticlePubMedPubMed CentralGoogle Scholar
- Devereaux PJ, Choi PTL, El-Dika S, Bhandari M, Montori VM, Schünemann HJ, Garg AX, Busse JW, Heels-Ansdell D, Ghali WA, Manns BJ, Guyatt GH: An observational study found that authors of randomized controlled trials frequently use concealment of randomization and blinding, despite the failure to report these methods. J Clin Epidemiol. 2004, 57: 1232-1236. 10.1016/j.jclinepi.2004.03.017.View ArticlePubMedGoogle Scholar
- Soares HP, Daniels S, Kumar A, Clarke M, Scott C, Swann S, Djulbegovic B: Bad reporting does not mean bad methods for randomised trials: observational study of randomised controlled trials performed by the Radiation Therapy Oncology Group. BMJ. 2004, 328: 22-24. 10.1136/bmj.328.7430.22.View ArticlePubMedPubMed CentralGoogle Scholar
- Mertz D, Kim TH, Johnstone J, Lam P-P, Science M, Kuster SP, Fadel SA, Tran D, Fernandez E, Bhatnagar N, Loeb M: Populations at risk for severe or complicated influenza illness: a systematic review and meta-analysis. BMJ. 2012, 347: f5061-View ArticleGoogle Scholar
- Landis JR, Koch GG: The measurement of observer agreement for categorical data. Biometrics. 1977, 33: 159-174. 10.2307/2529310.View ArticlePubMedGoogle Scholar
- Ben-David A: Comparison of classification accuracy using Cohen’s Weighted Kappa. Expert Syst Appl. 2008, 34: 825-832. 10.1016/j.eswa.2006.10.022.View ArticleGoogle Scholar
- Mahnken A, Koos R, Katoh M, Spuentrup E, Busch P, Wildberger J, Kühl H, Günther R: Sixteen-slice spiral CT versus MR imaging for the assessment of left ventricular function in acute myocardial infarction. Eur Radiol. 2005, 15: 714-720. 10.1007/s00330-004-2592-x.View ArticlePubMedGoogle Scholar
- Wells G, Brodsky L, O’Connell D, Shea B, Henry D, Mayank S, Tugwell P: Evaluation of the Newcastle-Ottawa Scale (NOS): an assessment tool for evaluating the quality of non-randomized studies. XI Cochrane Colloquium: Evidence, Health Care and Culture. 2003, Barcelona, Spain, http://www.citeulike.org/user/SRCMethodsLibrary/article/12919189,Google Scholar
- Strijbos J-W, Martens RL, Prins FJ, Jochems WMG: Content analysis: what are they talking about?. Comput Educ. 2006, 46: 29-48. 10.1016/j.compedu.2005.04.002.View ArticleGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2288/14/45/prepub
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.