what were the four most frequent drugs that were prescribed to male patients of the age 30s in the same month after they had been diagnosed with nb obsrv suspct infect since 6 years ago?
CREATE TABLE microbiologyevents (
    row_id number,
    subject_id number,
    hadm_id number,
    charttime time,
    spec_type_desc text,
    org_name text
)

CREATE TABLE outputevents (
    row_id number,
    subject_id number,
    hadm_id number,
    icustay_id number,
    charttime time,
    itemid number,
    value number
)

CREATE TABLE cost (
    row_id number,
    subject_id number,
    hadm_id number,
    event_type text,
    event_id number,
    chargetime time,
    cost number
)

CREATE TABLE diagnoses_icd (
    row_id number,
    subject_id number,
    hadm_id number,
    icd9_code text,
    charttime time
)

CREATE TABLE d_items (
    row_id number,
    itemid number,
    label text,
    linksto text
)

CREATE TABLE d_icd_diagnoses (
    row_id number,
    icd9_code text,
    short_title text,
    long_title text
)

CREATE TABLE chartevents (
    row_id number,
    subject_id number,
    hadm_id number,
    icustay_id number,
    itemid number,
    charttime time,
    valuenum number,
    valueuom text
)

CREATE TABLE inputevents_cv (
    row_id number,
    subject_id number,
    hadm_id number,
    icustay_id number,
    charttime time,
    itemid number,
    amount number
)

CREATE TABLE d_icd_procedures (
    row_id number,
    icd9_code text,
    short_title text,
    long_title text
)

CREATE TABLE labevents (
    row_id number,
    subject_id number,
    hadm_id number,
    itemid number,
    charttime time,
    valuenum number,
    valueuom text
)

CREATE TABLE procedures_icd (
    row_id number,
    subject_id number,
    hadm_id number,
    icd9_code text,
    charttime time
)

CREATE TABLE icustays (
    row_id number,
    subject_id number,
    hadm_id number,
    icustay_id number,
    first_careunit text,
    last_careunit text,
    first_wardid number,
    last_wardid number,
    intime time,
    outtime time
)

CREATE TABLE admissions (
    row_id number,
    subject_id number,
    hadm_id number,
    admittime time,
    dischtime time,
    admission_type text,
    admission_location text,
    discharge_location text,
    insurance text,
    language text,
    marital_status text,
    ethnicity text,
    age number
)

CREATE TABLE patients (
    row_id number,
    subject_id number,
    gender text,
    dob time,
    dod time
)

CREATE TABLE d_labitems (
    row_id number,
    itemid number,
    label text
)

CREATE TABLE prescriptions (
    row_id number,
    subject_id number,
    hadm_id number,
    startdate time,
    enddate time,
    drug text,
    dose_val_rx text,
    dose_unit_rx text,
    route text
)

CREATE TABLE transfers (
    row_id number,
    subject_id number,
    hadm_id number,
    icustay_id number,
    eventtype text,
    careunit text,
    wardid number,
    intime time,
    outtime time
)
SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'nb obsrv suspct infect') AND DATETIME(diagnoses_icd.charttime) >= DATETIME(CURRENT_TIME(), '-6 year')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE admissions.subject_id IN (SELECT patients.subject_id FROM patients WHERE patients.gender = 'm') AND admissions.age BETWEEN 30 AND 39 AND DATETIME(prescriptions.startdate) >= DATETIME(CURRENT_TIME(), '-6 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND DATETIME(t1.charttime, 'start of month') = DATETIME(t2.startdate, 'start of month') GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 4
Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: what were the four most frequent drugs that were prescribed to male patients of the age 30s in the same month after they had been diagnosed with nb obsrv suspct infect since 6 years ago? ### Input: CREATE TABLE microbiologyevents (
    row_id number,
    subject_id number,
    hadm_id number,
    charttime time,
    spec_type_desc text,
    org_name text
)

CREATE TABLE outputevents (
    row_id number,
    subject_id number,
    hadm_id number,
    icustay_id number,
    charttime time,
    itemid number,
    value number
)

CREATE TABLE cost (
    row_id number,
    subject_id number,
    hadm_id number,
    event_type text,
    event_id number,
    chargetime time,
    cost number
)

CREATE TABLE diagnoses_icd (
    row_id number,
    subject_id number,
    hadm_id number,
    icd9_code text,
    charttime time
)

CREATE TABLE d_items (
    row_id number,
    itemid number,
    label text,
    linksto text
)

CREATE TABLE d_icd_diagnoses (
    row_id number,
    icd9_code text,
    short_title text,
    long_title text
)

CREATE TABLE chartevents (
    row_id number,
    subject_id number,
    hadm_id number,
    icustay_id number,
    itemid number,
    charttime time,
    valuenum number,
    valueuom text
)

CREATE TABLE inputevents_cv (
    row_id number,
    subject_id number,
    hadm_id number,
    icustay_id number,
    charttime time,
    itemid number,
    amount number
)

CREATE TABLE d_icd_procedures (
    row_id number,
    icd9_code text,
    short_title text,
    long_title text
)

CREATE TABLE labevents (
    row_id number,
    subject_id number,
    hadm_id number,
    itemid number,
    charttime time,
    valuenum number,
    valueuom text
)

CREATE TABLE procedures_icd (
    row_id number,
    subject_id number,
    hadm_id number,
    icd9_code text,
    charttime time
)

CREATE TABLE icustays (
    row_id number,
    subject_id number,
    hadm_id number,
    icustay_id number,
    first_careunit text,
    last_careunit text,
    first_wardid number,
    last_wardid number,
    intime time,
    outtime time
)

CREATE TABLE admissions (
    row_id number,
    subject_id number,
    hadm_id number,
    admittime time,
    dischtime time,
    admission_type text,
    admission_location text,
    discharge_location text,
    insurance text,
    language text,
    marital_status text,
    ethnicity text,
    age number
)

CREATE TABLE patients (
    row_id number,
    subject_id number,
    gender text,
    dob time,
    dod time
)

CREATE TABLE d_labitems (
    row_id number,
    itemid number,
    label text
)

CREATE TABLE prescriptions (
    row_id number,
    subject_id number,
    hadm_id number,
    startdate time,
    enddate time,
    drug text,
    dose_val_rx text,
    dose_unit_rx text,
    route text
)

CREATE TABLE transfers (
    row_id number,
    subject_id number,
    hadm_id number,
    icustay_id number,
    eventtype text,
    careunit text,
    wardid number,
    intime time,
    outtime time
) ### Response: SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'nb obsrv suspct infect') AND DATETIME(diagnoses_icd.charttime) >= DATETIME(CURRENT_TIME(), '-6 year')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE admissions.subject_id IN (SELECT patients.subject_id FROM patients WHERE patients.gender = 'm') AND admissions.age BETWEEN 30 AND 39 AND DATETIME(prescriptions.startdate) >= DATETIME(CURRENT_TIME(), '-6 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND DATETIME(t1.charttime, 'start of month') = DATETIME(t2.startdate, 'start of month') GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 4