Literature DB >> 35605095

Reliability of Modified Radiographic Union Score for Tibia Scores in the Evaluation of Femoral Shaft Fractures in a Low-resource Setting.

Mayur Urva1, Sravya T Challa, Billy T Haonga, Edmund Eliezer, Zachary M Working, Ashraf El Naga, Saam Morshed, David W Shearer.   

Abstract

INTRODUCTION: The modified Radiographic Union Score for Tibia (RUST) fractures was developed to better describe fracture healing, but its utility in resource-limited settings is poorly understood. This study aimed to determine the validity of mRUST scores in evaluating fracture healing in diaphyseal femur fractures treated operatively at a single tertiary referral hospital in Tanzania.
METHODS: Radiographs of 297 fractures were evaluated using the mRUST score and compared with outcomes including revision surgery and EuroQol five dimensions questionnaire (EQ-5D) and visual analog scale (VAS) quality-of-life measures. Convergent validity was assessed by correlating mRUST scores with EQ-5D and VAS scores. Divergent validity was assessed by comparing mRUST scores in patients based on revision surgery status.
RESULTS: The mRUST score had moderate correlation (Spearman correlation coefficient 0.40) with EQ-5D scores and weak correlation (Spearman correlation coefficient 0.320) with VAS scores. Compared with patients who required revision surgery, patients who did not require revision surgery had higher RUST scores at all time points, with statistically significant differences at 3 months (2.02, P < 0.05). DISCUSSION: These results demonstrate that the mRUST score is a valid method of evaluating the healing of femoral shaft fractures in resource-limited settings, with high interrater reliability, correlation with widely used quality of life measures (EQ-5D and VAS), and expected divergence in the setting of complications requiring revision surgery.
Copyright © 2022 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Orthopaedic Surgeons.

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Mesh:

Year:  2022        PMID: 35605095      PMCID: PMC9126518          DOI: 10.5435/JAAOSGlobal-D-21-00211

Source DB:  PubMed          Journal:  J Am Acad Orthop Surg Glob Res Rev        ISSN: 2474-7661


The global burden of trauma is increasing rapidly,[1] particularly in low- and middle-income countries (LMICs), where long-bone fractures and other musculoskeletal injuries cause notable disability and mortality.[2-4] Owing to resource limitations in these settings, long-bone fractures can result in long-term sequelae that are often preventable in high-resource settings, where the established treatment guidelines are more locally applicable. Improving research capacity in LMICs is essential to establishing the contextually appropriate guidelines of care for these injuries.[2,5] One aspect of musculoskeletal research in which LMICs face unique challenges is outcome assessment, particularly radiographic evaluation. Hospitals in LMICs have less access to basic medical imaging, and the radiologic resources that do exist are often less modern than those in high-income countries.[6] With photographs of plain radiographs, there is no ability to adjust contrast or to “zoom in” on the fracture site, making evaluation of bony healing more challenging compared with settings with access to digital picture archiving and communication system. Although there exists no universally accepted measure of bony healing, radiographic union is a commonly referenced end point of successful fracture treatment.[7] The definition of union remains poorly defined, but recent image-based assessments such as the Radiographic Union Score for Tibia (RUST) score and modified RUST (mRUST) have shown promise in better representing the spectrum of fracture healing.[7,8] These scoring systems have proven to be useful measures of physical and biomechanical healing in tibial fractures,[9-11] but few studies have assessed their applicability to fractures at other sites and in low-resource settings. Given that the score addresses callus development in healing fractures, this system should be generalizable to most other long bones. A recent study found the modified RUST scoring system to be reliable in assessing radiographic union in metadiaphyseal femoral fractures in North America.[8,12] However, few studies have compared the mRUST score in femoral shaft fractures with existing patient-reported outcome measures. We sought to determine whether the interrater reliability of the mRUST scoring of femoral fractures would be sufficiently high to warrant its use in clinical research at a tertiary care center in Tanzania, where the scores were obtained using uploaded photographs of printed plain radiographs on a light box. We also sought to assess the correlation of the mRUST scores with validated quality of life instruments, including the EuroQol five dimensions questionnaire (EQ-5D) and visual analog scale (VAS) analog scale, as well as the correlation of the mRUST scores with the development of complications ultimately requiring revision surgery. As an additional exploratory outcome, in cases where only a single-view radiograph was obtained due to resource constraints, we sought to compare the single-view, two-cortex score with patient-reported quality of life and revision surgery status. We hypothesize that the mRUST scores will exhibit high interrater reliability and will correlate with both patient-reported quality-of-life measures and with complications requiring revision surgery.

Methods

Study Population and Design

This was an unplanned secondary analysis of a previously published prospective observational study.[8] The original study enrolled 329 patients with diaphyseal femur fractures (331 fractures) treated operatively at a tertiary referral hospital in Dar es Salaam, Tanzania, from July 2012 to July 2013. The exclusion criteria for the original study population were (1) skeletal immaturity, (2) pathologic fracture, (3) previous surgery involving the affected femur, (4) delayed presentation (≥6 weeks from injury), (5) active infection at the surgical site, (6) severe traumatic brain injury, (7) severe burns, and (8) the inability to participate in the follow-up. Patients were treated at surgeon discretion using intramedullary nailing, plate fixation, or external fixation. This study included the 297 patients (of the original 329) who had adequate radiographic follow-up and evaluation (Figure 1). The study population consisted primarily of young, healthy men who sustained isolated femoral shaft fractures from road traffic injuries (Table 1). We considered a patient to have an adequate follow-up if postoperative radiographs were obtained at a minimum of one follow-up visit (at 6 weeks, 3 months, or 6 months), and the uploaded images were of sufficient quality to assess cortical bridging.
Figure 1

Flowchart demonstrating screening, enrollment, and follow-up for study participants. TBI = traumatic brain injury.

Table 1

Patient Characteristics[a]

FactorTotal (N = 293)
Age[b]32.02 ± 11.2
Sex, n (%)
 Male251 (85.7)
 Female42 (14.3)
Formal employment, n (%)
 Yes86 (29.5)
 No206 (70.5)
Mechanism of injury, n (%)
 Motor vehicle crash139 (49.5)
 Motorcycle crash99 (35.2)
 Pedestrian struck by automobile6 (2.1)
 Fall31 (11)
 Crush6 (2.1)
Injury Severity Score[b]9.06 ± 0.3
Any comorbidity, n (%)7 (2.4)
Smoker, n (%)
 Current39 (13.4)
 Former33 (11.3)
 Never219 (75.3)
Alcohol use, n (%)
 No203 (70)
 Yes87 (30)
Side, n (%)
 Left114 (39.2)
 Right172 (59.1)
 Bilateral5 (1.7)
BMI, n (%)
 <18 kg/m28 (2.8)
 18-25 kg/m2209 (7.2)
 >25-30 kg/m254 (18.7)
 >30 kg/m218 (6.2)
Baseline EQ-5D index[b]0.996 ± 0.04
Baseline EQ-5D VAS[b]99.2 ± 3.3
Time to presentation[c] (d)1 (0-1)
Time to surgery[c] (d)7 (3-13)

BMI = body mass index, EQ-5D = EuroQol five dimensions questionnaire, VAS = visual analog scale

A total of 297 participants included in this study. Some demographic data were not reported for some patients.

The values are given as the mean ± SD.

The values are given as the median, with the interquartile range in parentheses.

Flowchart demonstrating screening, enrollment, and follow-up for study participants. TBI = traumatic brain injury. Patient Characteristics[a] BMI = body mass index, EQ-5D = EuroQol five dimensions questionnaire, VAS = visual analog scale A total of 297 participants included in this study. Some demographic data were not reported for some patients. The values are given as the mean ± SD. The values are given as the median, with the interquartile range in parentheses. Plain radiographs were taken preoperatively and postoperatively and at follow-up appointments at 6 weeks, 3 months, and 6 months after surgery, and photographs of the plain radiographs were uploaded to REDCap electronic data capture tools hosted at the partner US Institution.[13] Patients were followed clinically for revision surgery and complications for up to 1 year after surgery. In total, there were 192 patients who had at least one radiograph image that was scored by the reviewers at 6 weeks, 167 at 3 months, and 112 at 6 months. Both AP and lateral radiograph images of 80 patients were scored at 6 weeks, 86 at 3 months, and 59 at 6 months. The EQ-5D and VAS were administered at all time points, and all complications were recorded and adjudicated by the committee. All cases in which revision surgery was recommended by the adjudication committee were considered a study event, regardless of whether the revision surgery actually occurred.

Modified and Single-view Radiographic Union Score for Tibia Scoring

Two fellowship-trained orthopaedic trauma surgeons (A.N.E., Z.M.W.) who were blinded to the study outcomes assessed the uploaded pictures of the radiographs and determined the modified RUST score according to the parameters described by Litrenta et al,[12] where each cortex is scored from 1 to 4 (1 = no callus, 2 = callus present, 3 = bridging callus, and 4 = remodeled with no visible fracture) for a total score ranging from 4 to 16. In addition, given the challenges of obtaining orthogonal images of the fracture in all cases because of resource limitations, an abbreviated, single-view RUST scoring system was developed. For patients with only one radiograph view, the score of that individual radiograph was recorded as a single-view RUST score (anterior/posterior or medial/lateral, depending on which cortices were visible in the radiograph). In patients with both radiograph views obtained, both the single-view scores (ranging from 2 to 8) and the modified RUST score (ranging from 4 to 16) were recorded.

Validity of Radiographic Union Score for Tibia Scores for Femoral Shaft Fractures

Statistical analysis was conducted using Stata (version 16.0, StataCorp). Convergent and divergent validities were assessed. Convergent validity refers to the extent to which two similar constructs correspond to one another. Spearman correlation coefficients (SCCs) were determined by comparing RUST scores with both EQ-5D indices and VAS scores at each time point; convergent validity was considered to be present if the SCC demonstrated at least fair correlation (SCC ≥0.30).[14] Divergent validity is the ability of a particular measurement tool to distinguish between different groups or constructs within its own data. A two-sample t-test was used to compare the means of the RUST at all relevant follow-up visits (6 weeks, 3 months, 6 months, and 1 year) between two groups: patients requiring revision surgery and patients not requiring revision surgery. The Levene test for equality of variances was used to determine whether the homogeneity of variance could be assumed between the two groups, and the appropriate t-test assuming equal or unequal variance was done accordingly. Divergent validity was considered to be present if the mean scores between patients requiring revision surgery and those not requiring revision surgery were statistically different with P < 0.05. Kappa statistic was used to calculate interrater reliability of the RUST and single-view RUST scores.

Correlating Single-view Radiographic Union Score for Tibia Scores With Modified Radiographic Union Score for Tibia Score

To determine the validity of the single-view RUST scores, individual view scores were correlated with modified RUST scores for 268 patient encounters where both radiograph views were present and a modified RUST score was able to be determined. Spearman's correlation was used, and a correlation coefficient was accepted as demonstrating at least fair correlation at ≥0.30, moderate correlation at ≥0.60, and very strong correlation at ≥0.80.

Results

Data from 297 enrolled patients with radiographic follow-up and measured RUST scores were included in the analysis. The most common definitive treatment modality in this group was intramedullary fixation; 226 patients were treated with the SIGN standard nail with 1 or 2 distal interlocking screws, 49 were treated with the SIGN Fin nail (which relies on interference fit for distal fixation), and 14 were treated with the AO universal femoral nail (DePuy Synthes). 5 patients were treated with plate fixation, and 1 was treated with external fixation. In total, 15 patients of the 297 included in this study were recommended to have a revision surgery, for reasons including infection, nonunion, malalignment, and missed interlocking screws.

Validity and Reliability of Modified Radiographic Union Score for Tibia Score for Femoral Shaft Fractures

Fair correlation (defined as SCC ≥0.30) was observed between modified RUST scores and EQ-5D index (SCC 0.417, P < 0.001) and EQ-5D VAS scores (SCC 0.343, P < 0.001) at all follow-up time points (Table 2). Compared with patients who required revision surgery, patients who did not require revision surgery had significantly higher modified RUST scores at 3 months (mean difference 2.02, P < 0.005), and the trend existed at 6 weeks (mean difference 1.25, P = 0.187) and 6 months (mean difference 1.40, P = 0.323) (Table 3 and Figure 2). Interrater reliability for evaluation of RUST scores between two fellowship trained orthopaedic trauma surgeons (A.N.E., Z.M.W.) was strong (kappa = 0.75, P < 0.001) (Table 4).
Table 2

Convergent Validity of RUST Scores With Patient-reported Quality of Life Measures

FactorAll Time Points6 wks3 mo6 mo
EQ-5D (SCC, P, N)VAS (SCC, P, N)EQ-5D (SCC, P, N)VAS (SCC, P, N)EQ-5D (SCC, P, N)VAS (SCC, P, N)EQ-5D (SCC, P, N)VAS (SCC, P, N)
Modified RUST (all 4 cortices)0.400 (<0.001, N = 222)[a]0.320 (<0.001, N = 217)[a]0.330 (0.003, N = 79)[a]0.119 (0.308, N = 75)0.299 (0.006, N = 84)[a]0.256 (0.020, N = 83)[a]0.370 (0.004, N = 59)[a]0.286 (0.028, N = 59)[a]
Single-view RUST (anterior + posterior cortices)0.408 (<0.001, N = 258)[a]0.334 (<0.001, N = 253)[a]0.347 (0.001, N = 98)[a]0.125 (0.232, N = 94)0.335 (0.001, N = 94)[a]0.287 (0.005, N = 93)[a]0.378 (0.002, N = 66)[a]0.309 (0.012, N = 66)[a]
Single-view RUST (medial + lateral cortices)0.331 (<0.001, N = 424)[a]0.316 (<0.001, N = 421)[a]0.173 (0.024, N = 170)[a]0.074 (0.345, N = 165)0.201 (0.013, N = 151)[a]0.189 (0.020, N = 152)[a]0.288 (0.003, N = 103)[a]0.256 (0.009, N = 104)[a]

EQ-5D = EuroQol five dimensions questionnaire, RUST = Radiographic Union Score for Tibia, SCC = Spearman's correlation coefficient, VAS = visual analog scale

Notable correlation between RUST score and either EQ-5D or VAS score, as determined by SCC.

Table 3

Divergent Validity

Factor6 wks[a]3 mo[b]6 mo[a]
MeanDifferenceMeanDifferenceMeanDifference
Modified RUST (all 4 cortices)
 NR6.25 (N = 76)1.25 (P = 0.187)7.90 (N = 82)2.02 (P < 0.005)[c]9.57 (N = 56)1.40 (P = 0.323)
 R5 (N = 4)5.88 (N = 4)8.17 (N = 3)
Single-view RUST (anterior + posterior cortices)
 NR3.11 (N = 94)0.81 (P = 0.097)3.88 (N = 91)1.28 (P < 0.005)[c]4.70 (N = 63)0.87 (P = 0.219)
 R2.3 (N = 5)2.6 (N = 5)3.83 (N = 3)
Single-view RUST (medial + lateral cortices)
 NR3.09 (N = 168)0.65 (P = 0.057)3.93 (N = 152)1.03 (P = 0.01)[c]4.73 (N = 102)0.60 (P = 0.341)
 R2.44 (N = 8)2.9 (N = 5)4.13 (N = 4)

Mean RUST scores in non-revision surgery vs revision surgery at each time point over 6 months.

NR = nonrevision surgery, R = revision surgery, RUST = Radiographic Union Score for Tibia, Difference = difference between the mean score in NR and R groups with significance of two sample t-test

Assuming equal variances.

Assuming unequal variances as based on Levene's test for equality of variances.

Significant.

Figure 2

Graph showing the mean mRUST score at each follow-up time point by revision surgery status. mRUST = modified Radiographic Union Score for Tibia.

Table 4

Interrater Reliability of RUST Scores

FactorModified RUST (All 4 Cortices)N = 203Single-view RUST (Anterior + Posterior Cortices)N = 244Single-view RUST (Medial + Lateral Cortices)N = 639
Pearson's R0.902 (sig 0.000)0.861 (sig 0.000)0.891 (sig 0.000)
Spearman correlation0.900 (sig 0.000)0.865 (sig 0.000)0.880 (sig 0.000)
Kappa0.753 (SE 0.044, sig 0.000)0.732 (SE 0.043, sig 0.000)0.781 (SE 0.028, sig 0.000)

RUST = Radiographic Union Score for Tibia

Convergent Validity of RUST Scores With Patient-reported Quality of Life Measures EQ-5D = EuroQol five dimensions questionnaire, RUST = Radiographic Union Score for Tibia, SCC = Spearman's correlation coefficient, VAS = visual analog scale Notable correlation between RUST score and either EQ-5D or VAS score, as determined by SCC. Divergent Validity Mean RUST scores in non-revision surgery vs revision surgery at each time point over 6 months. NR = nonrevision surgery, R = revision surgery, RUST = Radiographic Union Score for Tibia, Difference = difference between the mean score in NR and R groups with significance of two sample t-test Assuming equal variances. Assuming unequal variances as based on Levene's test for equality of variances. Significant. Graph showing the mean mRUST score at each follow-up time point by revision surgery status. mRUST = modified Radiographic Union Score for Tibia. Interrater Reliability of RUST Scores RUST = Radiographic Union Score for Tibia

Validity and Reliability of Single-view Radiographic Union Score for Tibia Score

The single-view RUST scores exhibited strong correlation with the modified RUST scores (A/P SCC 0.965 P < 0.001, M/L SCC 0.952 P < 0.001). Fair correlation was observed between single-view RUST scores and EQ-5D index (A/P SCC 0.421 P < 0.001, M/L SCC 0.341 P < 0.001) and EQ-5D VAS scores (A/P 0.351 P < 0.001, M/L 0.316 P < 0.001) at all time points (Table 2). Patients who did not require revision surgery had significantly higher single-view RUST scores at 3 months (A/P P < 0.005, M/L P = 0.01), and the trend existed at 6 weeks (A/P P = 0.097, M/L P = 0.65) and 6 months (A/P P = 0.219, M/L P = 0.341) (Table 3). Interrater reliability for evaluation of single-view RUST scores was strong (A/P kappa = 0.732 P < 0.001, M/L kappa = 0.781 P < 0.001) (Table 4).

Discussion

We evaluated radiographs from 297 patients with femoral shaft fractures treated operatively in Dar es Salaam, Tanzania. We found that the modified RUST score demonstrated convergent validity with EQ-5D index and VAS scores, divergent validity between patients requiring revision surgery and those who did not, and excellent interrater reliability, which suggests that this is a valid tool for clinical research in this population. Although the data were not sufficient to validate using an abbreviated single-view RUST score, the results do support that this may be a useful alternative in low-resource settings where both views are not available. Of note, the mRUST and single-view scores at 3 months exhibited the most notable difference between patients who required revision surgery compared with those who did not. Additional research is needed to establish relevant clinical thresholds for bone healing at different time points, but these data suggest that the mRUST score may allow for earlier identification of healing based on radiographic evaluation at 3 months. This is supported by the work of Lack et al who found that cortical bridging at 4 months discriminates between fractures that will undergo late union without intervention and fractures that are destined for nonunion.[15,16] To the best of our knowledge, this is the first study exploring the interrater reliability of mRUST scores of femoral shaft fractures in Tanzania. However, our findings are supported by previous studies that have assessed the reliability of RUST scores in other settings and study populations. Francisco and Detoyato[17] found the RUST score to have high interobserver and intraobserver reliability when applied to radiographs of femoral shaft fractures treated at a tertiary hospital in the Philippines and subsequently uploaded to an online SIGN surgical database before evaluation. Litrenta et al[12] assessed both the RUST and mRUST scores in patients with distal femur fractures treated with plate or nail fixation at a level I trauma center in the US and found that the mRUST scores had a higher intraclass correlation compared with RUST scores. Regarding the construct validity of the modified RUST score, our study adds to the existing literature examining the correlation between RUST scores and patient-reported outcomes. Çekiç et al[18] compared RUST scores in tibial shaft fractures treated with intramedullary nailing with the VAS score as well as the Short Form-36 physical function and pain score and the Karlstöm-Olerud physical function scale and found that RUST scores markedly correlated with these patient-reported outcomes. Although additional research is needed to establish the validity of the use of mRUST scores in isolation, it exhibits promise as an independent measure of patient progress along the healing continuum. There are some limitations to this study. Some radiographs were of poor quality, and radiographs were not available for all patients at all time points. Although the available radiographs suggested a correlation between the mRUST score and both patient-reported outcomes and complications requiring a revision surgery, more complete imaging data may have established a stronger relationship and allowed for the assessment of longitudinal trends. In addition, although the RUST score was developed with the intention to predict nonunion specifically, the outcome of interest that was measured in the original study was revision surgery for any reason, including complications other than nonunion (such as infection). Our results demonstrated a correlation between the mRUST score and revision surgery for any complication, but inferences about its validity as a predictor of nonunion cannot be made.

Conclusion

Our study adds to the growing use of RUST scores to assess fractures at sites other than the tibia, by validating the mRUST score as an assessment of fracture healing in diaphyseal femoral fractures in comparison with widely used quality of life measures (EQ-5D/VAS) and showing expected divergence in the setting of complications requiring revision surgery. Apart from being a standardized descriptor of healing, the mRUST score may present utility in determining the need for revision surgery because the presence of callus or bridging on any two cortices, or bridging on one cortex, was found to be correlated with not requiring a revision surgery. Our study also establishes that the validity of a single-view RUST score in low-resource settings may be worth exploring in future studies.
  14 in total

1.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

2.  Any Cortical Bridging Predicts Healing of Tibial Shaft Fractures.

Authors:  William D Lack; James S Starman; Rachel Seymour; Michael Bosse; Madhav Karunakar; Stephen Sims; James Kellam
Journal:  J Bone Joint Surg Am       Date:  2014-07-02       Impact factor: 5.284

Review 3.  Surgical Burden of Musculoskeletal Conditions in Low- and Middle-Income Countries.

Authors:  Manjul Joshipura; Richard A Gosselin
Journal:  World J Surg       Date:  2020-04       Impact factor: 3.352

Review 4.  Fracture healing: A review of clinical, imaging and laboratory diagnostic options.

Authors:  Brian P Cunningham; Sloane Brazina; Saam Morshed; Theodore Miclau
Journal:  Injury       Date:  2017-05-05       Impact factor: 2.586

5.  Development of the radiographic union score for tibial fractures for the assessment of tibial fracture healing after intramedullary fixation.

Authors:  Daniel B Whelan; Mohit Bhandari; David Stephen; Hans Kreder; Michael D McKee; Rad Zdero; Emil H Schemitsch
Journal:  J Trauma       Date:  2010-03

6.  Reliability of the radiographic union score for tibial fractures.

Authors:  Erman Cekiç; Emin Alıcı; Murat Yeşil
Journal:  Acta Orthop Traumatol Turc       Date:  2014       Impact factor: 1.511

7.  Determination of Radiographic Healing: An Assessment of Consistency Using RUST and Modified RUST in Metadiaphyseal Fractures.

Authors:  Jody Litrenta; Paul Tornetta; Samir Mehta; Clifford Jones; Robert V OʼToole; Mohit Bhandari; Stephen Kottmeier; Robert Ostrum; Kenneth Egol; William Ricci; Emil Schemitsch; Daniel Horwitz
Journal:  J Orthop Trauma       Date:  2015-11       Impact factor: 2.512

8.  Defining the diagnostic divide: an analysis of registered radiological equipment resources in a low-income African country.

Authors:  Patrick Sitati Ngoya; Wilbroad Edward Muhogora; Richard Denys Pitcher
Journal:  Pan Afr Med J       Date:  2016-10-20

Review 9.  User's guide to correlation coefficients.

Authors:  Haldun Akoglu
Journal:  Turk J Emerg Med       Date:  2018-08-07

10.  Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010.

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Roy Burstein; Bianca Calabria; Benjamin Campbell; Charles E Canter; Hélène Carabin; Jonathan Carapetis; Loreto Carmona; Claudia Cella; Fiona Charlson; Honglei Chen; Andrew Tai-Ann Cheng; David Chou; Sumeet S Chugh; Luc E Coffeng; Steven D Colan; Samantha Colquhoun; K Ellicott Colson; John Condon; Myles D Connor; Leslie T Cooper; Matthew Corriere; Monica Cortinovis; Karen Courville de Vaccaro; William Couser; Benjamin C Cowie; Michael H Criqui; Marita Cross; Kaustubh C Dabhadkar; Manu Dahiya; Nabila Dahodwala; James Damsere-Derry; Goodarz Danaei; Adrian Davis; Diego De Leo; Louisa Degenhardt; Robert Dellavalle; Allyne Delossantos; Julie Denenberg; Sarah Derrett; Don C Des Jarlais; Samath D Dharmaratne; Mukesh Dherani; Cesar Diaz-Torne; Helen Dolk; E Ray Dorsey; Tim Driscoll; Herbert Duber; Beth Ebel; Karen Edmond; Alexis Elbaz; Suad Eltahir Ali; Holly Erskine; Patricia J Erwin; Patricia Espindola; Stalin E Ewoigbokhan; Farshad Farzadfar; Valery Feigin; David T Felson; Alize Ferrari; Cleusa P Ferri; Eric M Fèvre; Mariel M Finucane; Seth Flaxman; Louise Flood; Kyle Foreman; Mohammad H Forouzanfar; Francis Gerry R Fowkes; Marlene Fransen; Michael K Freeman; Belinda J Gabbe; Sherine E Gabriel; Emmanuela Gakidou; Hammad A Ganatra; Bianca Garcia; Flavio Gaspari; Richard F Gillum; Gerhard Gmel; Diego Gonzalez-Medina; Richard Gosselin; Rebecca Grainger; Bridget Grant; Justina Groeger; Francis Guillemin; David Gunnell; Ramyani Gupta; Juanita Haagsma; Holly Hagan; Yara A Halasa; Wayne Hall; Diana Haring; Josep Maria Haro; James E Harrison; Rasmus Havmoeller; Roderick J Hay; Hideki Higashi; Catherine Hill; Bruno Hoen; Howard Hoffman; Peter J Hotez; Damian Hoy; John J Huang; Sydney E Ibeanusi; Kathryn H Jacobsen; Spencer L James; Deborah Jarvis; Rashmi Jasrasaria; Sudha Jayaraman; Nicole Johns; Jost B Jonas; Ganesan Karthikeyan; Nicholas Kassebaum; Norito Kawakami; Andre Keren; Jon-Paul Khoo; Charles H King; Lisa Marie Knowlton; Olive Kobusingye; Adofo Koranteng; Rita Krishnamurthi; Francine Laden; Ratilal Lalloo; Laura L Laslett; Tim Lathlean; Janet L Leasher; Yong Yi Lee; James Leigh; Daphna Levinson; Stephen S Lim; Elizabeth Limb; John Kent Lin; Michael Lipnick; Steven E Lipshultz; Wei Liu; Maria Loane; Summer Lockett Ohno; Ronan Lyons; Jacqueline Mabweijano; Michael F MacIntyre; Reza Malekzadeh; Leslie Mallinger; Sivabalan Manivannan; Wagner Marcenes; Lyn March; David J Margolis; Guy B Marks; Robin Marks; Akira Matsumori; Richard Matzopoulos; Bongani M Mayosi; John H McAnulty; Mary M McDermott; Neil McGill; John McGrath; Maria Elena Medina-Mora; Michele Meltzer; George A Mensah; Tony R Merriman; Ana-Claire Meyer; Valeria Miglioli; Matthew Miller; Ted R Miller; Philip B Mitchell; Charles Mock; Ana Olga Mocumbi; Terrie E Moffitt; Ali A Mokdad; Lorenzo Monasta; Marcella Montico; Maziar Moradi-Lakeh; Andrew Moran; Lidia Morawska; Rintaro Mori; Michele E Murdoch; Michael K Mwaniki; Kovin Naidoo; M Nathan Nair; Luigi Naldi; K M Venkat Narayan; Paul K Nelson; Robert G Nelson; Michael C Nevitt; Charles R Newton; Sandra Nolte; Paul Norman; Rosana Norman; Martin O'Donnell; Simon O'Hanlon; Casey Olives; Saad B Omer; Katrina Ortblad; Richard Osborne; Doruk Ozgediz; Andrew Page; Bishnu Pahari; Jeyaraj Durai Pandian; Andrea Panozo Rivero; Scott B Patten; Neil Pearce; Rogelio Perez Padilla; Fernando Perez-Ruiz; Norberto Perico; Konrad Pesudovs; David Phillips; Michael R Phillips; Kelsey Pierce; Sébastien Pion; Guilherme V Polanczyk; Suzanne Polinder; C Arden Pope; Svetlana Popova; Esteban Porrini; Farshad Pourmalek; Martin Prince; Rachel L Pullan; Kapa D Ramaiah; Dharani Ranganathan; Homie Razavi; Mathilda Regan; Jürgen T Rehm; David B Rein; Guiseppe Remuzzi; Kathryn Richardson; Frederick P Rivara; Thomas Roberts; Carolyn Robinson; Felipe Rodriguez De Leòn; Luca Ronfani; Robin Room; Lisa C Rosenfeld; Lesley Rushton; Ralph L Sacco; Sukanta Saha; Uchechukwu Sampson; Lidia Sanchez-Riera; Ella Sanman; David C Schwebel; James Graham Scott; Maria Segui-Gomez; Saeid Shahraz; Donald S Shepard; Hwashin Shin; Rupak Shivakoti; David Singh; Gitanjali M Singh; Jasvinder A Singh; Jessica Singleton; David A Sleet; Karen Sliwa; Emma Smith; Jennifer L Smith; Nicolas J C Stapelberg; Andrew Steer; Timothy Steiner; Wilma A Stolk; Lars Jacob Stovner; Christopher Sudfeld; Sana Syed; Giorgio Tamburlini; Mohammad Tavakkoli; Hugh R Taylor; Jennifer A Taylor; William J Taylor; Bernadette Thomas; W Murray Thomson; George D Thurston; Imad M Tleyjeh; Marcello Tonelli; Jeffrey A Towbin; Thomas Truelsen; Miltiadis K Tsilimbaris; Clotilde Ubeda; Eduardo A Undurraga; Marieke J van der Werf; Jim van Os; Monica S Vavilala; N Venketasubramanian; Mengru Wang; Wenzhi Wang; Kerrianne Watt; David J Weatherall; Martin A Weinstock; Robert Weintraub; Marc G Weisskopf; Myrna M Weissman; Richard A White; Harvey Whiteford; Natasha Wiebe; Steven T Wiersma; James D Wilkinson; Hywel C Williams; Sean R M Williams; Emma Witt; Frederick Wolfe; Anthony D Woolf; Sarah Wulf; Pon-Hsiu Yeh; Anita K M Zaidi; Zhi-Jie Zheng; David Zonies; Alan D Lopez; Mohammad A AlMazroa; Ziad A Memish
Journal:  Lancet       Date:  2012-12-15       Impact factor: 79.321

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