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Table 3 Key results and main author conclusions from Method B studies

From: A literature review on the representativeness of randomized controlled trial samples and implications for the external validity of trial results

Study

Real-world data source

% ineligibilitya

Key differences (ineligible versus eligible patients)

Main author conclusionsb

Cardiology

Bahit et al., 2003 [16]

MC-PR

33.6

Older, more females/previous MI, lower ASA use, longer LOS

Different

Bosch et al., 2008 [19]

SC-PR

41.2

Older, higher risk profile

Different

Collet et al., 2003 [53]

SC-PR

34.0

Older, more females, higher risk score, fewer in-hospital procedures

NE

Costantino et al., 2009c [21]

SC-PR

66.2

ND

Different

Fortin et al., 2006 [55]

MC-PR

1.4–65.5

ND

NE

Koeth et al., 2009 [34]

MC-PR

46.4

Older, more females, more diabetes/hypertension, less guideline-recommended treatment

Different

Krumholz et al., 2003 [56]

MC-PR

84.5 (NRMI)

ND

Similar

90.6 (CCP)

Lenzen et al., 2005 [35]

MC-PR

61.6

Older, more females, more co-morbid hypertension/ACS/renal impairment, less guideline-recommended treatment at baseline

Different

Masoudi et al., 2003 [36]

ID

67.0

ND

Different

Steg et al., 2007 [40]

MC-PR

33.6

Older, history of MI, diabetes, TIA, PAD, and CABG, less guideline-recommended treatment/procedures, high risk score

Different

Uijen et al., 2007c [44]

MC-PR

53.0

ND

Different

Mental health

Blanco et al., 2008 [18]

GP

75.8

ND

Different

Goedhard et al., 2010 [26]

SC-PR

69.8

Older, more Axis II personality disorders

Different

Hoertel et al., 2013 [28]

GP

58.2 (bipolar)

ND

Different

55.8 (mania)

Keitner et al., 2003 [32]

SC-PR

85.5

ND

Different

Khan et al., 2005 [33]

GP

98.2

ND

Different

Rabinowitz et al., 2003c [59]

MC-PR

33.0

ND

Similar

Seemuller et al., 2010 [61]

MC-PR

69.0

Younger, trend to younger age at disease onset

Similar

Storosum et al., 2004 [41]

SC-PR

83.8d

ND

Different

Surman et al., 2010c [42]

SC-PR

61.0

More lifetime co-morbidity, lower overall functioning/SES

Different

Talamo et al., 2008 [63]

SC-PR

77.6

Few differences

Similar

van der Lem et al., 2011 [64]

SC-PR

75.5–81.2e

ND

NE

Wisniewski et al., 2009 [47]

MC-PR

77.8

Older, less educated, more black/Hispanic, longer disease duration, history of suicide and substance abuse, more atypical features

Different

Zarin et al., 2005c [49]

MC-PR

55.0 (bipolar) 38.0 (schizo-phrenia)

More co-morbidity, lower global functioning, greater use of antipsychotic medication

Different

Zetin and Hoepner, 2007 [50]

SC-PR

91.4

ND

Different

Zimmerman et al., 2004 [51]

SC-PR

65.8

ND

Different

Oncology

Clarey et al., 2012 [20]

SC-PR

31.0–76.0

ND

Different

Filion et al., 2012 [54]

SC-PR

–f

ND

Similar

Fraser et al., 2011c [25]

MC-PR

14.9

ND

Different

Mengis et al., 2003c [38]

SC-PR

87.0

ND

Different

Mol et al., 2013 [58]

MC-PR

21.5

Worse performance status, higher alkaline phosphatase, less primary tumor resection

Similar

Somer et al., 2008 [39]

SC-PR

71.0

ND

Different

Terschüren et al., 2010 [43]

MC-PR

35.9 (HL)

ND

Different

70.4 (hgNHL)

Vardy et al., 2009 [46]

MC-PR

65.0–72.0

ND

Different

  1. Please see Additional files 2 and 4 for more detailed results
  2. aPercentage of patients not eligible for RCT inclusion following the application of eligibility criteria. bDifferent: authors explicitly comment, in their opinion, that there were meaningful differences between populations that suggested they were not representative, that the data could not be extrapolated or were not applicable to real-world settings, and/or that external validity is impacted; NE: authors do not explicitly comment on external validity or do not comment on external validity despite demonstration of differences in baseline characteristics; Similar: authors comment that populations are similar and/or that RCT results are generalizable to the overall disease population. cStudies that employed Methods A and B; in these studies RCT samples and real-world populations were compared, the authors then used the eligibility criteria from the RCT of interest to determine how many patients would hypothetically have been eligible or ineligible for that trial. Results presented in this table are for Method B only (see Table 2 for Method A results). dPercentage of manic episodes not number of ineligible. e75.5 % based on application of stringent criteria using the Mittman regression equation to calculate HAM-D; 81.2 % based on application of stringent criteria using the Hawley or Zimmerman regression equation to calculate HAM-D. fInclusion/exclusion criteria were categorized to identify criteria that might impede RCT recruitment; if any individual category was not met by > 10 % of patients with breast cancer from a retrospective cohort, then the criterion was considered a barrier to recruitment. ACS acute coronary syndrome, ASA aspirin, CABG coronary artery bypass graft, CCP cooperative cardiovascular project, GP general population data, HL Hodgkin’s lymphoma, hgNHL high-grade non-Hodgkin’s lymphoma, ID insurance data, LOS length of stay, MC-PR patient records - multicenter (including multicenter registries and observational studies), MI myocardial infarction, ND not determined, NRMI National Registry of Myocardial Infarction, PAD peripheral arterial disease, SC-PR patient records - single center, SES socioeconomic status, TIA transient ischemic attack