Five-Year Overall Survival Rates:
Malignant Carcinoid (Neuroendocrine): ~88%
Goblet Cell Carcinoid: ~70%
Colonic-type Adenocarcinoma: ~51%
Mucinous Adenocarcinoma: ~59%
Signet Ring Cell Type: ~25%
Median Survival for Mucinous Adenocarcinoma:
Disease-specific survival: 118 months
Overall survival: 88 months
Trend in Survival Over Time:
Survival has improved for neuroendocrine tumors but not for adenocarcinoma or mucinous subtypes.
Early Stage at Diagnosis (Localized Disease)
Younger Age (<50 years)
Well-Differentiated Histology
Mucinous Histology (Better outcomes in localized disease than non-mucinous)
Complete Surgical Resection with lymph node removal (e.g., right hemicolectomy for non-mucinous adenocarcinoma)
Cytoreductive Surgery with HIPEC (for moderate-grade mucinous tumors)
Adjuvant Chemotherapy (Effective in stages I-III, particularly for non-mucinous and poorly differentiated tumors)
Lower CEA Levels and absence of lymphatic/distant spread
Inheritance:
Most cases are sporadic.
Pathogenic germline variants found in 10-12% of cases.
Lynch syndrome and other hereditary gastrointestinal cancer syndromes may be implicated but are not typically the drivers of tumorigenesis.
Microsatellite Instability: Rare (<4%).
Genetic Evaluation:
Genetic evaluation is recommended due to the underrecognized prevalence of germline variants, although screening for appendix cancer in hereditary cancer syndromes is not currently advised.
Mo S, Zhou Z, Ying Z, et al. Epidemiology of and Prognostic Factors for Appendiceal Carcinomas. Int J Colorectal Dis. 2019;34(11):1915-1924.
Palmer K, Weerasuriya S, Chandrakumaran K, et al. Goblet Cell Adenocarcinoma of the Appendix: Systematic Review and Incidence. Front Oncol. 2022;12:915028.
McClelland PH, Gregory SN, Nah SK, et al. Survival in Mucinous Adenocarcinoma of the Appendix. Ann Surg Oncol. 2024;31(9):6237-6251.
Wang D, Ge H, Lu Y, Gong X. Incidence and Survival Trends in Appendiceal Tumors. PLoS One. 2023;18(11):e0294153.
Aloysius M, Nikumbh T, Singh A, et al. Survival in Non-Mucinous Appendiceal Adenocarcinomas. Surgery. 2023;174(4):759-765.
Liu T, Mi J, Wang Y, et al. Survival Prediction Risk Model for Appendiceal Cancer. Front Med. 2022;9:1022595.
Asare EA, Compton CC, Hanna NN, et al. Efficacy of Chemotherapy in Appendix Adenocarcinomas. Cancer. 2016;122(2):213-221.
Halfter K, Schubert-Fritschle G, Klauschen F, et al. Trends in Appendix Tumors and Prognosis. Colorectal Dis. 2023;25(5):943-953.
Xie X, Zhou Z, Song Y, et al. Prognostic Prediction of Adenocarcinoma of Appendix. Sci Rep. 2016;6:39027.
Foote MB, Walch H, Kemel Y, et al. Impact of Germline Alterations in Appendiceal Adenocarcinoma. Clin Cancer Res. 2023;29(14):2631-2637.
Holowatyj AN, Washington MK, Tavtigian SV, et al. Inherited Cancer Susceptibility in Appendix Cancer. JAMA Oncol. 2022;2798729.
(Evidence-Based Summary with Studies)
Natural or conservative methods for smoking cessation involve nonpharmacological, behavioral, and psychosocial interventions. These are strongly supported by clinical evidence and are often first-line or adjunctive strategies, especially for those unwilling or unable to use pharmacotherapy.
Effectiveness: Even advice under 1 minute during routine encounters increases quit rates.
Recommendation: Provide at every clinical visit.
Study: Selby & Zawertailo (2022) showed brief clinician advice significantly improves quit attempts and long-term abstinence 【Selby & Zawertailo, Canadian Journal of Psychiatry, 2022】.
Approaches: Individual or group counseling, CBT, Acceptance and Commitment Therapy (ACT).
Effectiveness: Greater session frequency and duration → higher quit success.
Study: Krist et al. (2021, JAMA) confirmed behavioral counseling improves 6- and 12-month abstinence, with group or individual formats both effective 【Krist et al., JAMA, 2021】.
Techniques:
Self-monitoring of triggers
Behavioral rehearsal (practice quits)
Assertiveness to resist social cues
Stress management (mindfulness, yoga)
Environmental modifications (smoke-free home, substitute activities)
Study: Rigotti et al. (2022, Annals of Internal Medicine) found behavioral training improved abstinence, especially when combined with structured programs 【Rigotti et al., 2022】.
Goal: Enhance motivation/readiness, esp. for ambivalent smokers.
Effectiveness: Mixed—some trials show modest benefit, others no added effect.
Study: Barua et al. (2018, Journal of Thoracic Disease) systematic review showed MI improved quit attempts but was not consistently superior to counseling 【Barua et al., 2018】.
Formats: Group sessions, peer support, family involvement.
Effectiveness: As effective as individual counseling; shared accountability enhances adherence.
Study: Selby & Zawertailo (2022) found group-based support increased quit rates and satisfaction 【Selby & Zawertailo, 2022】.
Examples: Automated text programs, quitlines, web-based tools, mobile apps.
Effectiveness: Moderate-certainty evidence for improved abstinence; text messaging particularly effective.
Study: Rigotti et al. (2022, Annals of Internal Medicine) showed quitlines and text support improved 6-month abstinence; apps had weaker evidence 【Rigotti et al., 2022】.
Effectiveness: Increase quit success while incentives are active, but high relapse post-withdrawal.
Study: Barua et al. (2018) found incentive-based interventions doubled abstinence rates short-term but relapse common without ongoing rewards 【Barua et al., 2018】.
Hypnosis and acupuncture: Insufficient evidence, not recommended.
Study: Rigotti et al. (2022) concluded no consistent benefit from these modalities 【Rigotti et al., 2022】.
The strongest evidence supports:
✅ Brief clinician advice
✅ Counseling (individual/group, CBT, ACT)
✅ Behavioral skills training & environmental modifications
✅ Social support
✅ Technology-based interventions (text, quitlines, web tools)
✅ Financial incentives (short-term effectiveness)
Effectiveness is dose-dependent: more intensive, longer-duration engagement → higher abstinence rates.
Selby P, Zawertailo L. Behavioral Interventions for Tobacco Cessation. Can J Psychiatry. 2022.
Krist AH, Davidson KW, Mangione CM, et al. Behavioral and Pharmacotherapy Interventions for Tobacco Smoking Cessation. JAMA. 2021;325(3):265–279.
Barua RS, Rigotti NA, Benowitz NL, et al. 2018 ACC Expert Consensus on Tobacco Cessation Treatment. J Thorac Dis. 2018;10(Suppl 9):S1138-S1173.
Rigotti NA, Chang Y, Regan S, et al. Comparative Effectiveness of Smoking Cessation Interventions. Ann Intern Med. 2022;175(4):472–482.
Evidence-Based Summary with Studies
SHS = known human carcinogen (American College of Chest Physicians).
Living with a smoker ↑ lung cancer risk 20–30%.
Causes thousands of lung cancer deaths annually.
Elevated risk for small cell lung cancer (OR > 3.0); also for adenocarcinoma and squamous carcinoma.
Dose-response: higher exposure → greater risk.
Childhood/household exposure especially harmful.
Key Studies:
Alberg AJ, Brock MV, Ford JG, Samet JM, Spivack SD. Epidemiology of Lung Cancer: ACCP Guidelines. Chest. 2013;143(5 Suppl):e1S-e29S. doi:10.1378/chest.12-2345.
👉 https://doi.org/10.1378/chest.12-2345
Elkefi S, Zeinoun G, Tounsi A, et al. Second-Hand Smoke Exposure and Risk of Lung Cancer Among Nonsmokers in the US. Int J Environ Res Public Health. 2025;22(4):595. doi:10.3390/ijerph22040595.
👉 https://doi.org/10.3390/ijerph22040595
Possenti I, Romelli M, Carreras G, et al. SHS Exposure and Lung Cancer Risk in Never-Smokers. Eur Respir Rev. 2024;33(174):240077. doi:10.1183/16000617.0077-2024.
👉 https://doi.org/10.1183/16000617.0077-2024
Hackshaw AK, Law MR, Wald NJ. Accumulated Evidence on Lung Cancer & ETS. BMJ. 1997;315(7114):980-8. doi:10.1136/bmj.315.7114.980.
👉 https://doi.org/10.1136/bmj.315.7114.980
Kim CH, Lee YC, Hung RJ, et al. Exposure to SHS and Lung Cancer by Histology. Int J Cancer. 2014;135(8):1918-30. doi:10.1002/ijc.28835.
👉 https://doi.org/10.1002/ijc.28835
Štěpánek L, Ševčíková J, Horáková D, et al. Public Health Burden of SHS. Int J Environ Res Public Health. 2022;19(20):13152. doi:10.3390/ijerph192013152.
👉 https://doi.org/10.3390/ijerph192013152
Respiratory: COPD, chronic cough, asthma in children, lower respiratory infections.
Cardiovascular: Coronary heart disease, stroke.
ENT: Otitis media in children.
Mechanisms: DNA adduct formation, oxidative stress, chronic inflammation.
Key Studies:
7. Tarlo SM, Altman KW, Oppenheimer J, et al. Occupational & Environmental Contributions to Chronic Cough. Chest. 2016;150(4):894-907. doi:10.1016/j.chest.2016.07.029.
👉 https://doi.org/10.1016/j.chest.2016.07.029
Tsai J, Homa DM, Gentzke AS, et al. SHS Among Nonsmokers – US 1988-2014. MMWR. 2018;67(48):1342-1346. doi:10.15585/mmwr.mm6748a3.
👉 https://doi.org/10.15585/mmwr.mm6748a3
Agraval H, Yadav UCS. Molecular Mechanisms of Passive Smoking-Induced Respiratory Diseases. Respir Med. 2025;108279. doi:10.1016/j.rmed.2025.108279.
👉 https://doi.org/10.1016/j.rmed.2025.108279
Homa DM, Neff LJ, King BA, et al. Disparities in SHS Exposure – US 1999-2012. MMWR. 2015;64(4):103-8.
👉 https://www.cdc.gov/mmwr/preview/mmwrhtml/mm6404a7.htm
Brody DJ, Faust E, Tsai J. SHS Exposure Among Adults – US 2015-2018. NCHS Data Brief. 2021;(369):1-8.
👉 https://www.cdc.gov/nchs/products/databriefs/db369.htm
Odor alone = not a proven health risk if no particulate/gas exposure.
THS defined: toxins deposited on surfaces/dust, later re-emitted or absorbed.
Risks: Potentially carcinogenic; children most vulnerable (inhalation, dermal, ingestion).
Consensus: Only measurable exposure = health risk; odor detection ≠ exposure.
Key Studies:
12. Wang SQ, Bao LJ, Li TY, Zeng EY. Health Risk of Nitrosamines in SHS/THS. J Hazard Mater. 2024;480:136446. doi:10.1016/j.jhazmat.2024.136446.
👉 https://doi.org/10.1016/j.jhazmat.2024.136446
Martins-Green M, Adhami N, Frankos M, et al. Cigarette Smoke Toxins on Surfaces & Health. PLoS One. 2014;9(1):e86391. doi:10.1371/journal.pone.0086391.
👉 https://doi.org/10.1371/journal.pone.0086391
SHS = established cause of lung cancer, cardiovascular disease, COPD, asthma, and infections.
Risk increases with intensity/duration of exposure.
Children and domestic partners of smokers face the highest risk.
THS = emerging concern, especially for children, but odor alone without measurable exposure is not proven harmful.
Hydrophilic (water-soluble) drugs → prefer highly vascular or moderate-flow areas (deltoid, thigh, abdomen) for rapid or steady absorption.
Lipophilic/depot (oil-based) drugs → require large, deep muscles (ventrogluteal, dorsogluteal) for slow, sustained release.
SubQ fat → low vascularity → ideal for stable, prolonged absorption (insulin, GLP-1 agonists, anticoagulants).
Deltoid → fastest IM absorption, good for small-volume hydrophilic injections (vaccines).
Ventrogluteal → safest large-muscle IM, excellent for depot injections.
Dorsogluteal → depot-capable but higher nerve/vessel risk.
Vastus lateralis → reliable absorption, especially in infants/children.
Influenza vaccine – 0.5 mL (15 µg antigen/strain) → Neutralizing antibodies → prevents viral entry
COVID-19 vaccines – 0.3 mL Pfizer (30 µg mRNA); 0.5 mL Moderna (50 µg) → Spike protein defense
Tdap/Td – 0.5 mL → Antibodies + memory cells → toxin protection
Hepatitis B vaccine – 1 mL adult (20 µg); 0.5 mL child (10 µg) → Prevents viral attachment
HPV vaccine – 0.5 mL (9-valent, 20–40 µg L1/strain) → Blocks HPV infection
Pneumococcal vaccine – 0.5 mL (25 µg polysaccharide/serotype) → Opsonizing antibodies
Shingles (Shingrix) – 0.5 mL (50 µg gE + adjuvant) → T-cell immunity
MMR (IM booster) – 0.5 mL (≥1,000 TCID50 live virus) → Adaptive immunity
Vitamin B12 – 1,000 mcg/mL; inject 1 mL → DNA synthesis, RBC maturation
Ceftriaxone – 250–1,000 mg (350 mg/mL; 1–3 mL) → Cell wall inhibition
Penicillin G benzathine – 1.2–2.4 M units (600,000 U/mL; 2–4 mL) → Long-acting bactericidal
Haloperidol decanoate – 50–200 mg (100 mg/mL; 0.5–2 mL) → Dopamine blockade
Medroxyprogesterone (Depo-Provera) – 150 mg (150 mg/mL; 1 mL) → Ovulation suppression
Iron dextran – 100 mg (50 mg/mL; 2 mL) → Restores hemoglobin synthesis
Hydroxocobalamin – 1,000 mcg (1,000 mcg/mL; 1 mL) → Myelin & methylation support
Testosterone cypionate – 50–200 mg (200 mg/mL; 0.25–1 mL) → Androgen receptor agonist
Risperidone LAI – 25–50 mg (12.5–25 mg/mL; 1–2 mL) → Dopamine/serotonin blockade
Paliperidone palmitate – 39–234 mg (39 mg/0.25 mL to 234 mg/1.5 mL) → Antipsychotic effect
Pediatric vaccines – 0.5 mL → Adaptive immunity
Epinephrine autoinjector – 0.3 mg adult / 0.15 mg child (1 mg/mL) → ↑ BP, bronchodilation
Naloxone IM – 0.4–2 mg (0.4 mg/mL; 1–5 mL) → Opioid reversal
Insulin – U-100 (100 units/mL; 0.1–1 mL, 10–100 units) → ↑ Glucose uptake
GLP-1 agonists – Semaglutide 0.25–2.0 mg (1.34 mg/mL; 0.19–1.5 mL); Liraglutide 1.2–1.8 mg (6 mg/mL; 0.2–0.3 mL) → Stimulate insulin
Heparin – 5,000 units (1,000 U/mL; 1 mL) → Antithrombin activation
Enoxaparin (Lovenox) – 40 mg (100 mg/mL; 0.4 mL) or 1 mg/kg (0.6–1 mL) → Factor Xa inhibition
Dalteparin – 2,500–5,000 units (2,500 U/mL; 1–2 mL); Fondaparinux 2.5 mg (2.5 mg/0.5 mL) → Antithrombin potentiation
Allergy immunotherapy – 0.05–0.5 mL (diluted vials) → Immune tolerance
Varicella vaccine – 0.5 mL (≥1,350 PFU live virus) → Protective antibodies
MMR vaccine (SubQ) – 0.5 mL (≥1,000 TCID50 live virus) → Adaptive immunity
Zoster vaccine live (Zostavax) – 0.65 mL (≥19,400 PFU VZV) → T-cell immunity
Implementation Overview First Week (Day 1–7) Activation Phase Strategic Goal Establish credibility and reduce cognitive friction for clients Psychological Drivers Primacy effect (first impressions anchor long-term perception), reciprocity (bonus value delivered before demanded) Actions GHL configured (CRM, pipelines, nurture, calendar, email/SMS), Stripe integrated (frictionless one-click payments), first affiliate pilot trained in LearnWorlds Outcome Clients experience instant structure, perception is enterprise-grade Time Saved ~20 hours weekly through automated scheduling, confirmations, reminders
First Month (Day 1–30) Acceleration Phase Strategic Goal Standardize onboarding, codify repeatable processes Psychological Drivers Commitment-consistency bias (bonuses anchor behavior), endowment effect (assets feel owned by client) Actions Affiliates scaled to 5–10 students with templated LinkedIn scripts and assets, onboarding funnel delivers 2 bonuses in 5 days, EAs track ROI milestones in ClickUp Outcome Clients reach ROI milestone in under 5 days Time Saved 50–70 hours monthly through automated onboarding tasks
First or Second Quarter (Day 30–90) Maturity Phase Strategic Goal Shift from agency as service to agency as system Psychological Drivers Social proof (affiliates and referrals), status signaling (badges, leaderboards, recognition) Actions Full AIR POWER loop automated, referral program launched in Stripe, support scaled with HubSpot Service Hub or Zendesk Outcome Pipeline shifts from linear to exponential growth Time Saved 100–200+ hours quarterly via automation of onboarding, payouts, support
Key Metrics Hours Saved target 100+ by Q2 Time-to-Value <5 days Referral/Affiliate Contribution ≥25% pipeline by Q2, scaling to 50% by enterprise
Stage 1: 0–25 Clients Foundation Tech Stack GHL, Stripe, Google Workspace, ClickUp, LearnWorlds, Upwork/Fiverr Team Dr Newton cognitive anchor, 2 EAs managing ops and onboarding (10 clients each), freelancers for tactical builds, 1–2 student affiliates testing traction Workflow Awareness educational videos with authority bias, Interest GHL drips with niche use cases, Reach Out client requests trigger instant resources and EA success kits, Purchase Stripe down payment auto-invoices and triggers onboarding, Onboard 5-day timeline with bonuses, Wow weekly EA check-ins, Enhance manual upsells by Dr Newton, Referral Stripe affiliate links with modest incentives
Stage 2: 25–50 Clients Scaling Tech Stack Same as Stage 1, LearnWorlds expanded for affiliate and client academies Team Dr Newton strategic sales, 3 EAs (Ops, Client Success, Scheduling), freelancers semi-retained, affiliates 5–10 students trained in Affiliate Academy Workflow Awareness GHL ads and campus events, Interest niche nurture flows and affiliate-led Q&As, Reach Out requests for resource kits delivered via GHL and triaged by EAs, Purchase Stripe + affiliate codes with transparent commissions, Onboard gamified onboarding with accelerators, Wow bi-weekly EA reviews with GHL surveys, Enhance structured upsells, Referral client + affiliate referral program formalized with tiers
Stage 3: 50–100 Clients Operational Maturity Tech Stack Adds HubSpot Service Hub or Zendesk for ticketing and support Team Dr Newton enterprise partnerships, 5 EAs in pods (Onboarding, Client Success, Finance), 5–7 retained freelancers, 20–30 affiliates tiered as New, Experienced, and Campus Leads Workflow Awareness national GHL campaigns and affiliate case studies, Interest industry-specific nurture flows, Reach Out advanced toolkits requested with EA-managed calls, Purchase Stripe automates contracts and dashboards, Onboard LearnWorlds academy + hybrid EA + AI pods, Wow AI chatbot handles 60% of tickets, Zendesk escalates edge cases, Enhance quarterly upsells to Growth Accelerators, Referral affiliates generate 25–35% of pipeline, leaderboards gamify competition
Stage 4: 100+ Clients Enterprise Scale Tech Stack GHL central hub, HubSpot or Zendesk for enterprise support, Stripe enterprise reporting, LearnWorlds advanced academies Team Dr Newton CEO-level leadership with investors and partners, 10 EAs in pods (Onboarding, Client Success, Enterprise, Finance, Ops), 10–12 embedded freelancers as consultants, 50–100 affiliates across 25+ universities managed by Regional Managers Workflow Awareness national GHL campaigns and roadshows, Interest AI-personalized nurture flows with affiliate hybrid events, Reach Out AI chatbot delivers resources instantly with EA escalation, Purchase Stripe enterprise automates contracts and affiliate payouts, Onboard AI + EA pods manage 5-day onboarding with advanced automation libraries and referral vouchers, Wow 24/7 omnichannel support with predictive AI churn detection, Enhance premium Enterprise Growth Labs upsells, Referral national referral program with affiliates and clients producing 40–50% of pipeline, top affiliates promoted into leadership or internships
Strategic Insight AIR POWER is recursive each stage reinforces the next referrals feed awareness upsells reinforce enhancement Dr Newton’s role evolves from operator to strategist to CEO Affiliates evolve from students into distributed sales nodes Automation compounds saved hours into free executive bandwidth which amplifies revenue growth