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Table 2 Assessment of unmeasured confounding among meta-analyses assessed by Point Estimate sensitivity analysis only

From: How likely is unmeasured confounding to explain meta-analysis-derived associations between alcohol, other substances, and mood-related conditions with HIV risk behaviors?

Exposure

Outcome

Pooled RR

(95% CI)1

E-value2

(95% CI LL)

Bias factor3

Bias-adjusted RR

(95% CI)

Alcohol

Non-adherence

1.40 (1.30–1.50)

2.15 (1.93)

1.11

1.26 (1.17–1.35)

Tobacco

Non-adherence

1.28 (1.20–1.38)

1.89 (1.68)

1.11

1.16 (1.08–1.24)

Stimulants

Non-adherence

1.59 (1.44–1.75)

2.55 (2.23)

1.11

1.43 (1.29–1.58)

Depression

Non-adherence

1.52 (1.35–1.72)

2.42 (2.04)

1.01

1.51 (1.34–1.71)

Anxiety

Non-adherence

1.44 (1.24–1.68)

2.24 (1.78)

1.01

1.43 (1.23–1.67)

Pain

Non-adherence

1.20 (1.08–1.34)

1.70 (1.38)

1.01

1.20 (1.08–1.33)

Pain

Unprotected sex

1.32 (1.08–1.62)

1.97 (1.37)

1.01

1.31 (1.07–1.61)

Alcohol

Transactional sex

1.54 (1.4–1.68)

2.44 (2.16)

1.17

1.31 (1.20–1.44)

Stimulants

Transactional sex

1.73 (1.58–1.89)

2.85 (2.54)

1.17

1.48 (1.35–1.62)

Depression

Transactional sex

1.32 (1.22–1.43)

1.98 (1.74)

1.01

1.31 (1.21–1.42)

Anxiety

Transactional sex

1.22 (1.08–1.38)

1.73 (1.37)

1.01

1.21 (1.07–1.37)

Tobacco

Multiple sexual partners

1.53 (1.42–1.64)

2.43 (2.20)

1.17

1.31 (1.22–1.40)

Opioids

Multiple sexual partners

1.14 (0.93–1.41)

1.55 (1.00)

1.17

0.98 (0.79–1.21)

Anxiety

Multiple sexual partners

0.97 (0.81–1.16)

1.21 (1.00)

1.01

0.98 (0.82–1.17)

Pain4

Multiple sexual partners

1.30 (1.10–1.55)

1.93 (1.42)

1.01

1.29 (1.09–1.54)

  1. 1 Converted from pooled ORs of Fig. 3
  2. 2 E-value: quantifies how strongly an unmeasured confounder would need to be associated with the exposure (minimum risk ratio RRXU) and outcome (minimum risk ratio RRUY) to fully explain the observed association (RRXY)
  3. 3 Bias factor: quantifies the maximum amount by which an unmeasured confounder could alter RRTXY
  4. 4 Single study