## What is/are Pooled Data?

Pooled Data - Pooled data from 7 cardiovascular outcome trials with GLP-1RAs provided a total of 55,943 patients.^{[1]}Pooled data of 5035 patients indicated the prevalence of PE in AE-COPD to be 12.

^{[2]}Pooled data on intramuscular temperature changes were plotted with respect to intramuscular depth to visualize the influence of skinfold thickness.

^{[3]}Pooled data indicated that extreme sleep duration (short sleep duration or long sleep duration) in pregnancy was closely related to preterm birth in comparison with normal sleep duration (SRR = 1.

^{[4]}A critical analysis of pooled data was performed to assess outcomes employing the DCIA free flap.

^{[5]}Individual study and pooled data were compared with national US census data.

^{[6]}DESIGN Pooled data from six US prospective cohorts (ARIC, CARDIA, CHS, Framingham Offspring, Health ABC, MESA).

^{[7]}Pooled data showed that multi-component non-pharmacological interventions probably reduce the incidence of delirium compared to usual care (10.

^{[8]}A four-compartment model with linear elimination and zero-order drug input provided a robust fit to the pooled data.

^{[9]}Methods: Pooled data analysis of participants of the prospective CLIP- and TATTOO-study at the University of Rostock was performed.

^{[10]}Results Ten studies with a pooled dataset of 18,077 patients (5453 PORT, 12,624 no PORT) were included.

^{[11]}Pooled data from both cohorts showed that adjusted odds ratios (OR) for steatosis were strongly significant among persons with diabetes (OR 3.

^{[12]}The Ureteral Stent Symptom Questionnaire (USSQ) body pain score was significantly improved by mirabegron in five studies, although a pooled data analysis did not reveal any significant changes.

^{[13]}Pooled data showed no differences between ST and stretching on ROM (ES = −0.

^{[14]}Methodology- For meeting research objectives, a pooled data of variables extracted from the review of literature is constructed.

^{[15]}Conclusions We demonstrated that the performance of federated learning using decentralized data was comparable to that of conventional deep learning using pooled data.

^{[16]}Pooled data were analyzed across patient demographic subgroups.

^{[17]}To estimate the prevalence rates of anxiety, depression, and insomnia, we pooled data using random-effects meta-analyses.

^{[18]}We include articles from PubMed, Embase, Web of Science, PsycINFO, and medRxiv between 1 February 2020 and 6 February 2021, and pooled data using random-effects meta-analyses.

^{[19]}Pooled data from the relevant trials demonstrated that the risk of new AVF in bone cement augmentation was significantly higher than that in non-bone cement treatments.

^{[20]}As an invited author on this paper, I had the opportunity to comment on the interpretation of the review, but because data extraction was not my role, I did not take the time to carefully scrutinise the included papers in a way that might have informed the interpretation of the pooled data on EA.

^{[21]}Meta-analyses were performed using the fixed-effects model when pooled data were homogeneous.

^{[22]}The 2019 survey was a pooled data from five separate sources and had relatively 30 types of traditional dishes.

^{[23]}METHODS Pooled data from two prospective multi-site validation studies and the control arm of a clinical utility study were analyzed.

^{[24]}Pooled data from the two RCTs showed that memantine at 10 mg/day significantly decreased the monthly number of migraine days at 12 weeks compared to placebo with a mean difference of -1.

^{[25]}Pooled data were used to assess diagnostic accuracy to detect coronary stenosis in the left main and the three proximal coronary segments on a per-patient and a per-segment level.

^{[26]}Pooled data over three vegetative surfaces for three years under irrigated conditions revealed that METRIC (NSE = 0.

^{[27]}In the pooled data from visit 1 and 2, the geometric mean procalcitonin level in induced sputum was significantly higher in the bronchiectasis group than in the healthy control group (1.

^{[28]}We screened studies using a standardized data collection form and pooled data from published studies.

^{[29]}We conducted a secondary analysis of pooled data from two pilot studies on TRE to examine an association between the timing of onset of food intake with obesity-related outcomes.

^{[30]}To test the hypothesis that CVRFs across the adult life course are associated with late-life cognitive changes, we pooled data from 4 prospective cohorts (n = 15,001, ages 18–95).

^{[31]}We also conducted a pooled data analysis with respect to oxygenation outcomes, comparing HFNC with COT and NIV, separately.

^{[32]}Pooled data from prospective cohort studies have overcome some of these limitations and show association of both processed and unprocessed meat and poultry intake but not fish consumption with incident CAD.

^{[33]}The pooled data indicated that circulating irisin concentrations were significantly lower in CKD nondialysis patients (WMD = − 84.

^{[34]}0017 g/cm2, respectively for the pooled datasets), and their results were superior to the corresponding single Vis, 2D matrices, and two machine learning methods established with the same VI combinations.

^{[35]}Pooled data on any, severe and organ-specific irAEs showed that immunotherapy has a significantly lower risk of irAEs compared to immuno-chemotherapy, especially when analysis was restricted to monoimmunotherapy, like drug discontinuation and toxic death (all p < 0.

^{[36]}The majority of IHCA data is heterogenous from registries, pooled databases, and insurance claims.

^{[37]}Conclusions This research indicated insignificantly different WTP/QALY estimates of the PC format and OE format with the grouped data whereas significantly higher estimates of the OE format from the pooled data.

^{[38]}Linear mixed models were used for statistics of the pooled data.

^{[39]}RESULTS Pooled data from 181 patients were analyzed.

^{[40]}Cross-sectional, pooled data from two survey years (2018–2020; N = 2125) of the national (U.

^{[41]}Pooled data in this review failed to confirm the benefit of successful stenting on stroke and mortality, but some of the included studies suggest benefit and some also supported improvement in neurocognitive function after successful stenting.

^{[42]}To characterize the relationship of anifrolumab pharmacokinetics (PK) with BICLA response and safety using pooled data from the TULIP trials.

^{[43]}To the best of our knowledge, NGSEP is currently the only tool that generates individual assignments of the mutations discovered from the pooled data.

^{[44]}Variation in data output of actigraphy devices and outcome measures presents a barrier to meta-anaylsis of pooled data.

^{[45]}RESULTS Pooled data from 45 studies of reward anticipation revealed activations in the ventral striatum, the middle cingulate cortex/supplementary motor area and the insula.

^{[46]}To contribute toward meeting the Sustainable Development Goals three and six, we used pooled data (N = 94,053) from the Nigeria Demographic Health Surveys from 2008 to 2018 to examine the trend and determinants of four childhood illnesses: diarrhea, fever, cough, and respiratory infection.

^{[47]}Objectives: We used pooled data from pirfenidone and IFNγ-1b trials to explore the association between monocyte count and prognosis in patients with IPF.

^{[48]}The pooled data suggested that the two polymorphisms were not significantly associated with AS susceptibility: rs2248374, A vs.

^{[49]}Pooled data revealed no differences in LVEF in the exercise group versus control [mean difference (MD): 2.

^{[50]}

## random effects model

We pooled data using a random effects model.^{[1]}A random effects model was used to calculate the pooled data.

^{[2]}We used random effects models to aggregate risk estimates for individual studies and the odds ratio (OR) as well as 95% confidence intervals (CI) were calculated for pooled data.

^{[3]}Pooled data were meta-analyzed using a random effects model and risk of bias was assessed.

^{[4]}We evaluated risk of bias using the Cochrane Collaboration tool and pooled data with a random-effects model.

^{[5]}We assessed pooled data by using a random-effects model.

^{[6]}We pooled data with random-effects models when appropriate.

^{[7]}We pooled data using a random effects model.

^{[8]}Meta-analyses of pooled data using random-effects model were performed.

^{[9]}A random effects model was used to calculate the pooled data.

^{[10]}We assessed pooled data by use of a random-effects model.

^{[11]}We assess pooled data using a random-effects model through Revman software (v.

^{[12]}The fixed-effects or random-effects models were used to analyze the pooled data, and heterogeneity was assessed by the I2 test.

^{[13]}Pooled data were meta-analyzed using a random-effects model.

^{[14]}The pooled data were analyzed with the random-effects model and heterogeneity using I2.

^{[15]}We pooled data using a random-effects model and evaluated the quality of evidence using the GRADE framework.

^{[16]}The pooled data were calculated with the random-effects model as a high significant heterogeneity was found among the studies and there was no significant publication bias observed.

^{[17]}We pooled data on technical and clinical success rates, PFC recurrence, and adverse events using the random-effects model.

^{[18]}The pooled data was assessed by a random-effects model.

^{[19]}Pooled data was assessed using a random-effects model expressed in terms of odds ratio (OR) and 95% confidence interval (CI).

^{[20]}We processed pooled data using a random-effects model.

^{[21]}We pooled data using the random-effects model and determined quality of individual studies, heterogeneity and across study bias using the Joanna Briggs Institute critical appraisal instrument for prevalence studies, Cochran's Q-test and Egger's regression test respectively.

^{[22]}We assessed pooled data using either a random-effects model (when P < 0.

^{[23]}We pooled data using a fixed-effect meta-analysis, except where heterogeneity was present, in which case we used a random-effects model.

^{[24]}A random-effects model was used to assess pooled data if there was moderate to high heterogeneity between studies.

^{[25]}The primary outcome was effect on all-cause readmission expressed as Mantel-Haenszel risk ratio (RR) derived from applying a random effects model to pooled data.

^{[26]}We used a shifting unit-of-analysis approach and pooled data using a random effects model.

^{[27]}A random effects model was used for meta-analysis of pooled data.

^{[28]}We assessed pooled data using a random-effects model.

^{[29]}Fixed and random-effects models were assessed based on the heterogeneity tests, and pooled data were determined as the standardized mean difference (SMD) with a 95% confidence interval (CI).

^{[30]}We assessed pooled data using random-effects model.

^{[31]}The pooled data were analyzed using either fixed-effects or random-effects models depending on heterogeneity (assessed via the I2 index).

^{[32]}The final pooled data were determined by the random effects model because significant high heterogeneity (I2 = 89%) was found.

^{[33]}

## 95 % confidence

Pooled data showed that there was no significant difference in improving nocturnal oxygen saturation (SpO2) level (95% confidence interval (CI) = − 1.^{[1]}We calculated risk ratios (RR) for dichotomous variables, with 95% confidence intervals (CIs) for pooled data from studies with similar interventions and outcomes.

^{[2]}We extracted and pooled data as mean difference and 95% confidence interval in an inverse variance method using RevMan software.

^{[3]}Pooled data were reported as odds ratio (OR) with 95% confidence interval (CI).

^{[4]}3, and pooled data were expressed as mean differences (MD) with 95% confidence intervals (CIs).

^{[5]}We pooled data for prevalence with their 95% confidence interval (CI) using random effect models and assessed the study quality based on the 11-item checklist recommended by the Agency for Healthcare Research and Quality.

^{[6]}Risk ratios (RRs) with 95% confidence intervals (CIs) were calculated from the pooled data using the inverse variance method and random-effects models.

^{[7]}We present sensitivity and specificity with 95% confidence intervals (CIs) for each test and pooled data using the bivariate model separately for antigen and molecular‐based tests.

^{[8]}We pooled data to calculate risk ratios (RR) with 95% confidence intervals (CI) in a random-effects model.

^{[9]}Pooled data were presented with 95% confidence intervals (95% CI) and displayed using Forest plots.

^{[10]}Data Synthesis:We pooled data and calculated Odds Ratios (OR) and Mean Differences (MD) with their 95% confidence intervals to assess explanatory variables.

^{[11]}The mean differences (MDs) and 95% confidence intervals (CIs) for pooled data were calculated.

^{[12]}Pooled data for survival outcomes and clinical features were recorded in terms of the hazard ratio (HR) or odds ratio (OR) and the 95% confidence interval (CI).

^{[13]}0) to calculate odds risks (ORs) and 95% confidence intervals (CIs) and pooled data was assessed by the fixed-effects model.

^{[14]}

## cross sectional study

Results Pooled data on mental health outcomes were generated from 25 cross-sectional studies: 32% anxiety (95% confidence interval (CI) = 21%-44%, n (number of studies) = 21, N (sample size) = 13 641), 40.^{[1]}Design Our study was a cross-sectional study that used pooled data from 29 countries in sub-Saharan Africa.

^{[2]}METHODS This cross-sectional study pooled data from two studies including patients scheduled for surgery for gastrointestinal tumors.

^{[3]}Methods: We performed a cross-sectional study using pooled data from the 2017 and 2018 cohorts of the American Behavioral Risk Factor Surveillance System survey of US adults.

^{[4]}METHODS This cross-sectional study used pooled data from current Demographic and Health Surveys conducted between 1 January 2010 and 31 December 2019 in 29 countries in sub-Saharan Africa (SSA).

^{[5]}Methods A population-based analytical cross-sectional study was conducted using pooled data from the 2015–2017 Peruvian Demographic and Health Surveys.

^{[6]}Design: In this comparison study, the pooled dataset of two cross-sectional studies was used, which prospectively home-monitored PA using the alternative self-report PAQ-C questionnaire as well as with the criterion standard accelerometry (Actigraph wGT3X-BT and GT1M).

^{[7]}Methods Retrospective, cross-sectional study of National Health Interview Survey pooled data from 2002, 2006, 2009, and 2014 from 27,887 U.

^{[8]}Methods: We used pooled data from the Adachi Child Health Impact of Living Difficulty (A-CHILD) study in 2016 and 2018, which is a population-based cross-sectional study in Adachi City, Tokyo, Japan (N = 6799, 4th, 6th, and 8th-grade students).

^{[9]}Methods This prospective cross-sectional study pooled data from 9171 primary school students (grades from 1 to 6) from four cities in the north and south of China.

^{[10]}We conducted a cross-sectional study using the weighted pooled data from the National Ambulatory Medical Care Survey (NAMCS) 2007 through 2016.

^{[11]}METHODS This cross-sectional study included multiple year pooled data (2003-2011) from the National Ambulatory Medical Care Survey and the National Hospital Ambulatory Medical Care Survey (NHAMCS Outpatient Department).

^{[12]}

## % 95 %

The pooled data from the 4 studies showed the Rule of 7’s has a sensitivity of 98% [95% confidence interval (CI): 89%–100%, I2 = 71%], specificity 40% (95% CI: 30%–50%, I2 = 75%), and a negative predictive value of 100% (95% CI: 95%–100%, I2 = 55%).^{[1]}The comparison meta-analysis of pooled data from 17 published studies of anemia in pregnancy in Uganda, which had a total of 14,410 pregnant mothers, revealed a prevalence of 30% (95% CI 23–37).

^{[2]}Overall pooled data including any surgical technique showed rates of 1% [95% confidence interval (CI) <0.

^{[3]}The pooled data showed that the overall prevalence of DED was 16% (95% CI 10% to 21%, p<0.

^{[4]}Regarding safety, the pooled data showed that hot resection [hot snare polypectomy, UEMR and EMR] had a higher risk of intraprocedural bleeding than cold resection [3% (95% CI 0.

^{[5]}Pooled data from surveys conducted during June-October suggest that 60% (95% CI: 49% to 69%) intend to vaccinate and 20% (95% CI: 13% to 29%) intend to refuse vaccination, although intentions vary substantially between samples and countries (I2 > 90%).

^{[6]}Xerostomia was a new feature of this update, and the pooled data demonstrated a prevalence of 43% (95% CI = 36% to 50%, I2 = 71%) in patients with COVID-19.

^{[7]}RESULTS Pooled data from 625 LS patients revealed a stricture recurrence rate of 10% (95% CI: 6% - 14%).

^{[8]}Other pooled data suggest the proportion of employment at 5 years may be even lower, at less than half of the patients (44%, 95% CI 0.

^{[9]}

## standardized mean difference

The pooled data of the six included studies revealed comparable efficacy of curcumin and chlorhexidine in reducing dental plaque (I2 = 91%; standardized mean difference (SMD): 0.^{[1]}Meta-analysis was performed on pooled data to estimate the standardized mean differences in PA duration and step count, and 95% confidence intervals.

^{[2]}We pooled data as standardized mean difference (SMD), weighted mean difference (WMD), or odds ratio (OR) with 95% confidence intervals (95% CIs).

^{[3]}Pooled data are expressed as standardized mean differences (SMD) and odds ratios (OR) with 95% confidence intervals (CI).

^{[4]}The analysis of pooled data showed that patients in both the L-BFR (standardized mean difference, 0.

^{[5]}We pooled data extracted from the included studies using the standardized mean difference (SMD) or mean difference (MD) of the random effects model.

^{[6]}

## fixed effect model

We pooled data using a fixed-effect model, unless we identified heterogeneity, in which case we used a random-effects model.^{[1]}We pooled data using a fixed-effect model, unless we identified heterogeneity, in which case we used a random-effects model.

^{[2]}We pooled data using a fixed-effect model, or a random-effects model when heterogeneity was identified.

^{[3]}Fixed effect models were applied to pooled data, and no study-to-study heterogeneity was detected.

^{[4]}

## randomized placebo controlled

This post hoc analysis of pooled data from 3 randomized, placebo-controlled trials included cancer patients with OIC who received MNTX or placebo.^{[1]}Methods: This post hoc analysis pooled data from two randomized, placebo-controlled clinical trials assessing methylnaltrexone for opioid-induced constipation in the outpatient setting.

^{[2]}METHODS This was a post hoc analysis of pooled data from the phase 3, randomized, placebo-controlled, 52-week TULIP-1 (NCT02446912; N=457) and TULIP-2 (NCT02446899; N=362) trials of intravenous anifrolumab (150/300 mg once every 4 weeks) in patients with moderate to severe SLE.

^{[3]}The purpose of this study is to investigate the effects of agomelatine on anxious symptoms and functional impairment in a pooled dataset from randomized placebo-controlled trials for generalized anxiety disorder (GAD).

^{[4]}

## two phase 3

In this study, we seek to interpret the relationship of ISGA with treatment, pruritus, and quality of life (QoL) by conducting post hoc analyses of pooled data from two phase 3 crisaborole studies.^{[1]}Population pharmacokinetic (PK) models were developed to characterize the time course of meropenem and vaborbactam using pooled data from two phase 1 and two phase 3 studies.

^{[2]}Across two phase 3 clinical trials (pooled data), complete (100%) clearance occurred in 49% of patients in tirbanibulin groups and in only 9% of the vehicle groups (difference, 41% points; 95% CI = 35 to 47; P < 0.

^{[3]}Here we present a comparison of the efficacy and safety of lumasiran in children versus adults with PH1 using pooled data from these two phase 3 studies of lumasiran.

^{[4]}

## patients aged ≥

In this post-hoc analysis of pooled data from the aforementioned studies, we investigated the efficacy of abrocitinib monotherapy (200 mg or 100 mg) or placebo in patients aged ≥ 12 years previously exposed to systemic therapies (except systemic corticosteroids), including dupilumab.^{[1]}and pooled data from phase 3 trials CrisADe CORE 1 and CORE 2, which evaluated crisaborole in patients aged ≥ 2 years with mild-to-moderate AD (crisaborole, n = 1016; vehicle, n = 506).

^{[2]}In this post-hoc analysis of pooled data from the aforementioned studies, we investigated the efficacy of abrocitinib monotherapy (200 mg or 100 mg) or placebo in patients aged ≥ 12 years previously exposed to systemic therapies (except systemic corticosteroids), including dupilumab.

^{[3]}

## panel data regression

The analysis technique used is panel data regression (pooled data), with descriptive statistical analysis, stationarity test, regression model selection, classical assumption test, and hypothesis testing in model suitability test (R2m), individual parameter significance test (t-test), and sobel test done in the Eviews 10.^{[1]}The type of data used is panel data (pooled data), panel data regression analysis with Fixed Effect Model (FEM) estimation method and reviews 9 SV program.

^{[2]}The method used by researchers is regression using panel data (pooled data) or called the panel data regression model.

^{[3]}

## double blind randomized

METHODS Pooled data from 1 phase 2b (NCT02780167) and 2 phase 3 (NCT03349060, NCT03575871) double-blind, randomized, placebo-controlled monotherapy trials in moderate to severe atopic dermatitis (N = 942) were analyzed.^{[1]}Methods The analysis (n=117, both patients with treatment-resistant depression (TRD) and non-TRD were included) examined pooled data from two 4-week, single-centered, two-armed, double-blind, randomized studies (EUDRACT n.

^{[2]}We pooled data from subsets of patients suffering from tinnitus that were enrolled in three double-blind, randomized, placebo-controlled clinical trials, which investigated the efficacy of EGb 761® (240 mg/day for 22–24 weeks) in dementia with concomitant neuropsychiatric symptoms.

^{[3]}

## hoc analysis included

This post hoc analysis included integrated, pooled data from the CANVAS Program and the CREDENCE trial.^{[1]}MATERIALS AND METHODS This post hoc analysis included integrated, pooled data from the CANVAS Program and CREDENCE.

^{[2]}This post hoc analysis included pooled data from tumour necrosis factor inhibitors (TNFi)-naïve pts in the MEASURE 1-5 (AS) and PREVENT (nr-axSpA) phase 3 trials.

^{[3]}

## weighted mean difference

We pooled data using a fixed effects meta-analysis with weighted mean differences and reported 95% confidence intervals (CIs).^{[1]}Results The pooled data suggested that however Hibiscus sabdariffa consumption reduced the SBP levels (weighted mean difference [WMD]: −7.

^{[2]}DATA ANALYSIS Pooled data (reported here as weighted mean difference [WMD]; 95%CI) showed a reduction in C-reactive protein (-1.

^{[3]}

## disease free survival

Pooled data were extracted from studies that evaluated the relationship between NPC and overall survival (OS), distant metastasis-free survival (DMFS) or disease-free survival (DFS) and then were subjected to a meta-analysis.^{[1]}Nine studies describing disease-free survival (DFS) included, the pooled data revealed that presence of EC-LNI was associated with significantly worse DFS (HR = 1.

^{[2]}[1] pooled data from 5 non-randomized observational studies comparing SLNB with END to report on comparative effectiveness using neck recurrence rate (NRR), disease-free survival (DFS), and overall survival (OS) as efficacy endpoints.

^{[3]}

## physician diagnosed epilepsy

METHODS We pooled data of cross-sectional National Health Interview Surveys in 2013, 2015, and 2017 to compare the prevalence of sleep duration and quality among those without epilepsy (N = 93,126) with those with any epilepsy (a history of physician-diagnosed epilepsy) (N = 1774), those with active epilepsy (those with a history of physician-diagnosed epilepsy who were currently taking medication to control it, had one or more seizures in the past year, or both) (N = 1101), and those with inactive epilepsy (those with a history of physician-diagnosed epilepsy who were neither taking medication for epilepsy nor had had a seizure in the past year) (N = 673).^{[1]}