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A hypotensive protocol of inspiratory muscle strength training: Systematic review and meta-analysis with trial sequential analysis.

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Authors
Li W, Zhu X, Wang X, Liu H, Liu J, Xiao H, Dong L, Wang C, Wu Y
Journal
J Clin Hypertens (Greenwich)
Year
2023
Citations
2

TL;DR

This meta-analysis found that high-intensity inspiratory muscle strength training (IMST) significantly lowers both systolic and diastolic blood pressure in adults, suggesting it's a robust, non-pharmacological approach worth testing for blood pressure management.

What they tested

This systematic review and meta-analysis investigated the effect of Inspiratory Muscle Strength Training (IMST) on blood pressure.

**Intervention:** Inspiratory Muscle Strength Training (IMST). This involves breathing in against resistance using a specialized device, strengthening the muscles used for inhalation (primarily the diaphragm and intercostal muscles). The studies included in this meta-analysis primarily focused on "high-intensity" IMST protocols.

**Comparators:** The IMST intervention was compared against control groups, which typically involved either a sham IMST (breathing through a device with very low or no resistance) or a no-intervention control.

**Outcome measures:** The primary outcome measures were:

* **Systolic Blood Pressure (SBP):** The top number in a blood pressure reading, representing the pressure in your arteries when your heart beats.

* **Diastolic Blood Pressure (DBP):** The bottom number, representing the pressure in your arteries when your heart rests between beats.

The goal was to determine if IMST could effectively reduce both SBP and DBP in adults.

Who was studied

This meta-analysis synthesized data from 11 randomized controlled trials (RCTs) involving a total of 386 participants. The participants in these individual studies were adults with varying blood pressure statuses, including:

**Hypertension:** Individuals diagnosed with high blood pressure.

**Prehypertension:** Individuals with blood pressure readings higher than normal but not yet at the hypertension threshold.

**Normotension:** Individuals with normal blood pressure.

The studies were conducted in various settings, typically research laboratories or clinical environments where IMST devices could be provided and supervised, and blood pressure measurements could be standardized. The abstract does not specify age ranges, gender distribution, or other demographic details for the combined population, but it can be inferred that the participants were generally healthy adults apart from their blood pressure status.

How they measured it

The individual studies included in the meta-analysis measured blood pressure, which is the standard method for assessing the primary outcomes. While the abstract does not specify the exact instruments used in each of the 11 trials, blood pressure is typically measured using:

**Sphygmomanometer:** This is the standard device, consisting of an inflatable cuff, a manometer (gauge), and a stethoscope or an automatic sensor. Measurements are usually taken after a period of rest, in a seated position, and often involve multiple readings to ensure accuracy and consistency.

**Automated Blood Pressure Monitors:** Many studies, especially those involving home measurements or larger cohorts, use validated automated devices that inflate the cuff and provide digital readings of SBP, DBP, and heart rate.

For a meta-analysis, it's crucial that the blood pressure measurements across the included studies were taken using standardized protocols to ensure comparability. This typically involves:

Using a correctly sized cuff.

Taking measurements after a 5-minute rest period.

Taking at least two readings and averaging them.

Measuring at the same time of day.

The abstract implies that these standard practices were followed, as is expected for high-quality RCTs included in a systematic review.

Methodology

This study was a **systematic review and meta-analysis with trial sequential analysis (TSA)**. This is a robust research design that combines and analyzes data from multiple independent studies to provide a more precise and powerful estimate of an intervention's effect than any single study could achieve.

**How they ran the study:**

1. **Systematic Review:** The researchers first conducted a comprehensive search of major scientific databases (PubMed, Embase, Web of Science, Cochrane Library) to identify all relevant published randomized controlled trials (RCTs) investigating IMST and blood pressure. They used specific keywords and inclusion/exclusion criteria to ensure only high-quality, relevant studies were considered. This systematic approach minimizes bias in study selection.

2. **Meta-analysis:** After identifying 11 eligible RCTs, the data from these studies were statistically combined. For each study, the researchers extracted the mean differences in SBP and DBP between the IMST group and the control group, along with measures of variability (e.g., standard deviations). These individual effect sizes were then pooled using statistical methods (likely inverse variance weighting) to calculate an overall, weighted average effect of IMST on blood pressure.

3. **Trial Sequential Analysis (TSA):** This is an advanced statistical technique used in meta-analyses to determine if sufficient evidence has accumulated to reach a reliable conclusion, similar to how interim analyses are used in large individual clinical trials. TSA helps to control for the risk of "random error" (Type I or Type II errors) that can occur when repeatedly updating a meta-analysis as new studies become available. It sets boundaries (analogous to stopping rules in a clinical trial) that, if crossed by the cumulative evidence, indicate that a definitive conclusion can be drawn regarding the intervention's effect. If the boundaries are not crossed, it suggests that more research is needed.

**Why this design matters:**

**Increased Statistical Power:** By combining data from multiple studies, a meta-analysis has a larger sample size than any single study, which increases its statistical power to detect true effects and reduces the likelihood of false negative findings.

**Improved Precision:** The pooled estimate of the effect size is generally more precise (i.e., has a narrower confidence interval) than estimates from individual studies.

**Generalizability:** Including studies from different populations and settings can increase the generalizability of the findings, making them more applicable to a broader range of individuals.

**Identification of Heterogeneity:** Meta-analyses can explore whether the effect of an intervention varies across different types of participants, intervention protocols, or study characteristics (e.g., through subgroup analyses).

**Robustness with TSA:** The inclusion of TSA significantly strengthens the conclusions. By confirming that the cumulative evidence has crossed the required significance boundaries, the researchers provide a higher level of confidence that the observed effects are not due to random chance and that further studies are unlikely to change the overall conclusion. This is particularly important for clinical decision-making and for guiding future research.

**What this design can and cannot prove:**

**Can Prove Causality (with high confidence):** Because this meta-analysis combined data from randomized controlled trials (RCTs), which are the gold standard for establishing cause-and-effect relationships, the findings provide strong evidence that IMST *causes* a reduction in blood pressure. Randomization helps ensure that any observed differences between groups are due to the intervention and not to other confounding factors.

**Cannot Prove Individual Response:** While it shows an average effect, a meta-analysis cannot predict how any single individual will respond to IMST. Some individuals may experience greater reductions, while others may experience less or no change.

**Limited by Included Studies:** The quality and characteristics of the included studies directly impact the meta-analysis. If the original studies had methodological flaws (e.g., poor blinding, small sample sizes, high risk of bias), these limitations can propagate to the meta-analysis. The abstract mentions that the included studies were "randomized controlled trials," which generally implies a higher quality of evidence, but specific details on risk of bias assessment for each study are not provided in the abstract.

**Specific Protocol Details:** While it confirms an overall effect, the meta-analysis might not definitively identify the *optimal* IMST protocol (e.g., exact intensity, duration, frequency) if there was significant variation across the included studies and insufficient data for detailed subgroup analyses.

**Major methodological strengths noted:**

Inclusion of only RCTs, which are high-quality evidence.

Use of Trial Sequential Analysis to confirm the robustness of the findings and reduce the risk of random error.

**Major methodological weaknesses (as inferred from abstract, or common to meta-analyses):**

**Heterogeneity:** The abstract mentions "significant heterogeneity" in some analyses, which means there was variability in the results across the included studies. While the meta-analysis attempts to account for this, it can make the overall effect estimate less precise or generalizable to all populations/protocols.

**Small Number of Studies/Participants:** While 11 RCTs and 386 participants are sufficient for some conclusions, for certain subgroup analyses or to explore specific IMST protocols, this might still be a relatively small dataset, potentially limiting the ability to draw definitive conclusions for specific populations or intervention parameters.

**Publication Bias:** Like all meta-analyses, there's a potential for publication bias, where studies with positive or statistically significant results are more likely to be published than those with null or negative findings. The abstract does not explicitly mention an assessment for publication bias (e.g., funnel plots), which is a common practice.

Key findings

The meta-analysis found a consistent and statistically significant reduction in both systolic and diastolic blood pressure with inspiratory muscle strength training (IMST).

**Overall Effect on Systolic Blood Pressure (SBP):**

* IMST significantly reduced SBP by a mean difference (MD) of **-8.41 mmHg** (95% Confidence Interval [CI]: -11.66 to -5.16, P < 0.001).

* This indicates that, on average, participants undergoing IMST experienced an SBP reduction of over 8 mmHg compared to control groups.

* The Trial Sequential Analysis (TSA) for SBP confirmed that the cumulative evidence had crossed the required significance boundary, indicating robust and

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